Featured Papers

The urban morphology on our planet – Global perspectives from space

Urbanization is the second-largest megatrend, right after climate change. Accurate measurements of urban morphological and demographic figures are at the core of many international endeavours to address issues of urbanization, such as the United Nations’ call for “Sustainable Cities and Communities”. In many countries – particularly developing countries –, however, this database does not yet exist. Here, we demonstrate a novel deep learning and big data analytics approach to fuse freely available global radar and multi-spectral satellite data, acquired by the Sentinel-1 and Sentinel-2 satellites. Via this approach, we created the first-ever global and quality controlled urban local climate zones classification covering all cities across the globe with a population greater than 300,000 and made it available to the community. Statistical analysis of the data quantifies a global inequality problem: approximately 40% of the area defined as compact or light/large low-rise accommodates about 60% of the total population, whereas approximately 30% of the area defined as sparsely built accommodates only about 10% of the total population. Beyond, patterns of urban morphology were discovered from the global classification map, confirming a morphologic relationship to the geographical region and related cultural heritage. We expect the open access of our dataset to encourage research on the global change process of urbanization, as a multidisciplinary crowd of researchers will use this baseline for spatial perspective in their work. In addition, it can serve as a unique dataset for stakeholders such as the United Nations to improve their spatial assessments of urbanization.

Reference: Xiao Xiang Zhu, Chunping Qiu, Jingliang Hu, Yilei Shi, Yuanyuan Wang, Michael Schmitt, Hannes Taubenböck (2021). The Urban Morphology on Our Planet - Global Perspectives from Space. Remote Sensing of Environment, 269, p.112794. [code] [paper]
 

HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline

Deep learning-based coastline detection algorithms have begun to outperform traditional statistical methods. However, these models are usually trained for as single-purpose: segment land and water, or delineate the coastline. On the other hand, a human annotator usually perform both tasks simultaneously. Considering this task duality, and inspired by the main building blocks of a semantic segmentation framework (UNet), and the edge detection framework (HED), we devised a new model that naturally combines both tasks: the HED-UNet. Training is made efficient by employing deep supervision on side predictions at multiple resolutions, and a hierarchical attention mechanism is introduced to adaptively merge these multiscale predictions into the final model output. The advantages of this approach are shown on a dataset of Sentinel-1 imagery covering parts of the Antarctic coast, where coastline detection is notoriously difficult.

Reference: Konrad Heidler, Lichao Mou, Celia Amélie Baumhoer, Andreas Dietz, Xiao Xiang Zhu (2021). HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3064606. [code]  [paper]

Books

1. Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein (Editors) (2021). Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences, Wiley & Sons, 2021.
2. Johannes Brinkmann, Mrinalini Kochupillai (2020). Law, Business, and Legitimacy, Springer International Publishing, 2020. (link)

Journal Papers

1. Yao Sun, Lichao Mou, Yuanyuan Wang, Sina Montazeri, Xiao Xiang Zhu (2021). Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression NetworksISPRS Journal of Photogrammetry and Remote Sensing, in press. (link)
2. Jakob Gawlikowski, Sudipan Saha, Anna Kruspe, Xiao Xiang Zhu (2021). An Advanced Dirichlet Prior Network for Out-of-distribution Detection in Remote SensingIEEE Transactions on Geoscience and Remote Sensing, in press.
3. Lei Ding, Hao Tang, Yahui Liu, Yilei Shi, Xiao Xiang Zhu, Lorenzo Bruzzone (2021). Adversarial Shape Learning for Building Extraction in VHR Eemote Sensing ImagesIEEE Transactions on Image Processing, in press. (link)
4. Nosheen Abid, Muhammad Shahzad, Muhammad Imran Malik, Ulrich Schwanecke, Adrian Ulges, György Kovács, Faisal Shafait (2021). UCL: Unsupervised Curriculum Learning for Water Body Classification from Remote Sensing ImageryInternational Journal of Applied Earth Observation and Geoinformation, 105, pp. 102568. (link)
5. Syed S. Ali Zaidi, Muhammad Moazam Fraz, Muhammad Shahzad, Sharifullah Khan (2021). A Multiapproach Generalized Framework for Automated Solution Suggestion of Support TicketsInternational Journal of Intelligent Systems pp. 1–28. (link)
6. Bramha Dutt Vishwakarma, Martin Horwath, Andreas Groh, Jonathan Bamber (2021). Accounting for GIA signal in GRACE productsGeophysical Journal International (link) (pdf)
7. Fanny Lehmann, Bramha Dutt Vishwakarma, Jonathan Bamber (2021). How Well Are We Able to Close the Water Budget at the Global Scale?Hydrology and Earth System Sciences Discussions, 2021, pp. 1–53. (link)
8. Jianzhe Lin, Lichao Mou, Xiao Xiang Zhu, Xiangyang Ji, Z. Jane Wang (2021). Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 59(9), pp. 7790-7802. (link)
9. Stephen Chuter, Andrew Zammit-Mangion, Jonathan Rougier, Geoffrey Dawson, Jonathan Bamber (2021). Mass Evolution of the Antarctic Peninsula Over the Last two Decades from a Joint Bayesian InversionThe Cryosphere Discussions, 2021, pp. 1–32. (link)
10. Tian Li, Geoffrey Dawson, Stephen Chuter, Jonathan Bamber (2021). A High-Resolution Antarctic Grounding Zone Product from ICESat-2 Laser AltimetryEarth System Science Data Discussions, 2021, pp. 1–35. (link)
11. Ingmar Nitze, Konrad Heidler, Sophia Barth, Guido Grosse (2021). Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw SlumpsRemote Sensing, 13(21), pp. 4294. (link)
12. Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu (2021). Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite ImagesIEEE Transactions on Geoscience and Remote Sensing (link)
13. Xiao Xiang Zhu, Chunping Qiu, Jingliang Hu, Yilei Shi, Yuanyuan Wang, Michael Schmitt, Hannes Taubenböck (2021). The Urban Morphology on Our Planet - Global perspectives from SpaceRemote Sensing of Environment, 269, pp. 112794.
14. Minghui Wang, Qingpeng Li, Yunchao Gu, Leyuan Fang, Xiao Xiang Zhu (2021). SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial ImageryIEEE Geoscience and Remote Sensing Letters, pp. 1-5. (link)
15. Lei Ma, Xiao Xiang Zhu, Chunping Qiu, Thomas Blaschke, Manchun Li (2021). Advances of Local Climate Zone Mapping and Its Practice Using Object-Based Image AnalysisAtmosphere, 12(9). (link)
16. Minerva Singh, Xiao Xiang Zhu (2021). Analysis of how the Spatial and Temporal Patterns of Fire and Their Bioclimatic and Anthropogenic Drivers Vary Across the Amazon Rainforest in El Niño and non-El Niño YearsPeerJ, 9, pp. e12029. (link)
17. Sudipan Saha, Lukas Kondmann, Qian Song, Xiao Xiang Zhu (2021). Change Detection in Hyperdimensional Images using Untrained ModelsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, in press. (code)
18. Julia Köninger, Emanuele Lugato, Panos Panagos, Mrinalini Kochupillai, Alberto Orgiazzi, Maria JI Briones (2021). Manure Management and Soil Biodiversity: Towards More Sustainable Food Systems in the EUAgricultural Systems, 194, pp. 103251. (link)
19. Sudipan Saha, Xiao Xiang Zhu (2021). Patch-level Unsupervised Planetary Change DetectionIEEE Geoscience and Remote Sensing Letters, in press.
20. Marcus D. Bloice, Peter M. Roth, Andreas Holzinger (2021). Performing Arithmetic Using a Neural Network Trained on Digit Permutation PairsJournal of Intelligent Information Systems (link)
21. Mina Basirat, Bernhard Geiger, Peter M. Roth (2021). A Geometric Perspective on Information Plane AnalysisEntropy, 23(6), pp. 711.
22. Qian Song, Feng Xu, Xiao Xiang Zhu, Ya-Qiu Jin (2021). Learning to Generate SAR Images With Adversarial AutoencoderIEEE Transactions on Geoscience and Remote Sensing, in press.
23. Xu Tang, Huayu Zhang, Lichao Mou, Fang Liu, Xiangrong Zhang, Xiao Xiang Zhu, Licheng Jiao (2021). An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric LearningIEEE Transactions on Geoscience and Remote Sensing, in press.
24. Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Xiao Xiang Zhu (2021). Building Footprint Generation through Convolutional Neural Networks with Attraction Field RepresentationIEEE Transactions on Geoscience and Remote Sensing, in press.
25. Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu (2021). MultiScene: A Large-scale Dataset and Benchmark for Multiscene Recognition in Single Aerial ImagesIEEE Transactions on Geoscience and Remote Sensing, in press.
26. Sudipan Saha, Patrick Ebel, Xiao Xiang Zhu (2021). Self-supervised Multisensor Change DetectionIEEE Transactions on Geoscience and Remote Sensing, in press. (pdf) (code)
27. Anja Rösel, Sinead Louise Farrell, Vishnu Nandan, Jaqueline Richter-Menge, Gunnar Spreen, Dmitry V. Divine, Adam Steer, Jean-Charles Gallet, Sebastian Gerland (2021). Implications of Surface Flooding on Airborne Estimates of Snow Depth on Sea IceThe Cryosphere, 15(6), pp. 2819–2833. (link)
28. Qiang Song, Feng Xu, Xiao Xiang Zhu, Ya-Qiu Jin (2021). Learning to Generate SAR Images with Adversarial AutoencoderIEEE Transactions on Geoscience and Remote Sensing, in press.
29. Anna Kruspe, Jens Kersten, Friederike Klan (2021). Review article: Detection of actionable tweets in crisis eventsNatural Hazards and Earth System Sciences, 21(6), pp. 1825–1845. (link)
30. Mrinalini Kochupillai, Ulrich Gallersdörfer, Julia Köninger, Roman Beck (2021). Incentivizing Research & Innovation with Agrobiodiversity Conserved in Situ: Possibilities and Limitations of a Blockchain-based SolutionJournal of Cleaner Production, 309, pp. 127155.
31. Martin J. Kühn, Daniel Abele, Tanmay Mitra, Wadim Koslow, Majid Abedi, Kathrin Rack, Martin Siggel, Sahamoddin Khailaie, Margrit Klitz, Sebastian Binder, Luca Spataro, Jonas Gilg, Jan Kleinert, Matthias Häberle, Lena Plötzke, Christoph D. Spinner, Melanie Stecher, Xiao Xiang Zhu, Achim Basermann, Michael Meyer-Hermann (2021). Assessment of Effective Mitigation and Prediction of the Spread of SARS-CoV-2 in Germany Using Demographic Information and Spatial ResolutionMathematical Biosciences, in press. (pdf)
32. Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu (2021). Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Novel Shared-Specific Feature Learning ModelISPRS Journal of Photogrammetry and Remote Sensing, in press.
33. Jun Li, Zhaocong Wu, Zhongwen Hu, Canliang Jian, Shaojie Luo, LiChao Mou, Xiao Xiang Zhu, Matthieu Molinier (2021). A Lightweight Deep Learning Based Cloud Detection Method for Sentinel-2A Imagery Fusing Multi-scale Spectral and Spatial FeaturesIEEE Transactions on Geoscience and Remote Sensing, in press.
34. Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, Alessandro Ruggiero, Anna Korhonen, Emily Jefferson, Emmanuel Ako, Georg Langs, Ghassem Gozaliasl, Guang Yang, Helmut Prosch, Jacobus Preller, Jan Stanczuk, Jing Tang, Johannes Hofmanninger, Judith Babar, Lorena Escudero Sánchez, Muhunthan Thillai, Paula Martin Gonzalez, Philip Teare, Xiao Xiang Zhu, Mishal Patel, Conor Cafolla, Hojjat Azadbakht, Joseph Jacob, Josh Lowe, Kang Zhang, Kyle Bradley, Marcel Wassin, Markus Holzer, Kangyu Ji, Maria Delgado Ortet, Tao Ai, Nicholas Walton, Pietro Lio, Samuel Stranks, Tolou Shadbahr, Weizhe Lin, Yunfei Zha, Zhangming Niu, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb, AIX-COVNET (2021). Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT ScansNature Machine Intelligence (link)
35. Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li (2021). On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AIDJournal of Selected Topics in Applied Earth Observations and Remote Sensing, in press.
36. Yuansheng Hua, Lichao Mou, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu (2021). Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory NetworksISPRS Journal of Photogrammetry and Remote Sensing, in press.
37. Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck (2021). Bayesian Neural Architecture Search using A Training-Free Performance MetricApplied Soft Computing, 106, pp. 107356. (link) (code)
38. Konrad Heidler, Lichao Mou, Celia Amélie Baumhoer, Andreas Dietz, Xiao Xiang Zhu (2021). HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic CoastlineIEEE Transactions on Geoscience and Remote Sensing, in press. (link)
39. Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu (2021). Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote SensingIEEE Geoscience and Remote Sensing Magazine, in press.
40. Lichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu (2021). Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, in press.
41. Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiao Xiang Zhu, Gustau Camps-Valls (2021). Towards a Collective Agenda on AI for Earth Science Data AnalysisIEEE Geoscience and Remote Sensing Magazine, in press.
42. Jingliang Hu, Yuanyuan Wang, Hannes Taubenböck, Xiao Xiang Zhu (2021). Land Consumption in Cities: A Comparative Study Across the GlobeCities, in press. (code)
43. Roland Perko, Manfred Klopschitz, Alexander Almer, Peter M. Roth (2021). Critical Aspects of Person Couting and Density EstimationJournal of Imaging, 7(2), pp. 21.
44. Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, Yuansheng Hua, Yuanyuan Wang, Lichao Mou, Yilei Shi, Feng Xu, Richard Bamler (2021). Deep Learning Meets SAR: Concepts, Models, Pitfalls, and PerspectivesIEEE Geoscience and Remote Sensing Magazine, in press. (link)
45. Yuansheng Hua, Diego Marcos, Lichao Mou, Xiao Xiang Zhu, Devis Tuia (2021). Semantic Segmentation of Remote Sensing Images with Sparse AnnotationsIEEE Geoscience and Remote Sensing Letters, in press.
46. Yun Cao, Yuebin Wang, Junhuan Peng, Chunping Qiu, Lei Ding, Xiao Xiang Zhu (2021). SDFL-FC: Semi-supervised Deep Feature Learning with Feature Consistency for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, in press.
47. Tzu-Hsin Karen Chen, Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu, Clive E Sabel, Alexander V Prishchepov (2020). Mapping Horizontal and Vertical Urban Densification in Denmark with Landsat Time-series From 1985 to 2018: A Semantic Segmentation SolutionRemote Sensing of Environment, 251, pp. 112096. (link)
48. Yao Sun, Sina Montazeri, Yuanyuan Wang, Xiao Xiang Zhu (2020). Automatic registration of a single SAR image and GIS building footprints in a large-scale urban areaISPRS Journal of Photogrammetry and Remote Sensing, 170, pp. 1–14. (link)
49. Andrés Camero, Jamal Toutouh, Enrique Alba (2020). Random Error Sampling-based Recurrent Neural Network Architecture OptimizationEngineering Applications of Artificial Intelligence, 96, pp. 103946. (link) (code)
50. Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu (2020). Relation Matters: Relational Context-Aware Fully Convolutional Network for Semantic Segmentation of High-Resolution Aerial ImagesIEEE Transactions on Geoscience and Remote Sensing, 58(11), pp. 7557–7569. (link)
51. Qingyu Li, Yilei Shi, Xin Huang, Xiao Xiang Zhu (2020). Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)IEEE Transactions on Geoscience and Remote Sensing, 58(11), pp. 7502–7519. (link)
52. Yilei Shi, Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu (2020). SAR Tomography at the Limit: Building Height Reconstruction Using Only 3–5 TanDEM-X Bistatic InterferogramsIEEE Transactions on Geoscience and Remote Sensing, 58(11), pp. 8026–8037. (link)
53. Chunping Qiu, Lichao Mou, Michael Schmitt, Xiao Xiang Zhu (2020). Fusing Multiseasonal Sentinel-2 Imagery for Urban Land Cover Classification With Multibranch Residual Convolutional Neural NetworksIEEE Geoscience and Remote Sensing Letters, 17(10), pp. 1787–1791. (link)
54. Danfeng Hong, Naoto Yokoya, Gui-Song Xia, Jocelyn Chanussot, Xiao Xiang Zhu (2020). X-ModalNet: A Semi-supervised Deep Cross-modal Network for Classification of Remote Sensing DataISPRS Journal of Photogrammetry and Remote Sensing, 167, pp. 12–23. (link)
55. Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Haberle, Yuansheng Hua, Rong Huang, Lloyd Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang (2020). So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]IEEE Geoscience and Remote Sensing Magazine, 8(3), pp. 76–89. (link) (code)
56. Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu (2020). Learning-Shared Cross-Modality Representation Using Multispectral-LiDAR and Hyperspectral DataIEEE Geoscience and Remote Sensing Letters, 17(8), pp. 1470–1474. (link)
57. Jian Kang, Yuanyuan Wang, Xiao Xiang Zhu (2020). Multipass SAR Interferometry Based on Total Variation Regularized Robust Low Rank Tensor DecompositionIEEE Transactions on Geoscience and Remote Sensing, 58(8), pp. 5354–5366. (link)
58. Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu (2020). Linking Points With Labels in 3D: A Review of Point Cloud Semantic SegmentationIEEE Geoscience and Remote Sensing Magazine (link)
59. Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu (2020). Classification of Hyperspectral and LiDAR Data Using Coupled CNNsIEEE Transactions on Geoscience and Remote Sensing, 58(7), pp. 4939–4950. (link)
60. Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2020). Relation Network for Multilabel Aerial Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 58(7), pp. 4558–4572. (link)
61. Brian Alan Johnson, Lei Ma (2020). Image Segmentation and Object-Based Image Analysis for Environmental Monitoring: Recent Areas of Interest, Researchers' Views on the Future PrioritiesRemote Sensing, 12(11), pp. 1772. (link)
62. Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu (2020). Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 58(6), pp. 3791–3808. (link)
63. Richard Lartey, Weihong Guo, Xiao Xiang Zhu, Claas Grohnfeldt (2020). Analog Image Modeling for 3D Single Image Super Resolution and PansharpeningFrontiers in Applied Mathematics and Statistics, 6. (link)
64. Chunping Qiu, Michael Schmitt, Christian Geiss, Tzu-Hsin Karen Chen, Xiao Xiang Zhu (2020). A Framework for Large-scale Mapping of Human Settlement Extent From Sentinel-2 Images via Fully Convolutional Neural NetworksISPRS Journal of Photogrammetry and Remote Sensing, 163, pp. 152–170. (link)
65. Rong Huang, Danfeng Hong, Yusheng Xu, Wei Yao, Uwe Stilla (2020). Multi-Scale Local Context Embedding for LiDAR Point Cloud ClassificationIEEE Geoscience and Remote Sensing Letters, 17(4), pp. 721–725. (link)
66. Naoto Yokoya, Pedram Ghamisi, Ronny Haensch, Michael Schmitt (2020). 2020 IEEE GRSS Data Fusion Contest: Global Land Cover Mapping With Weak Supervision [Technical Committees]IEEE Geoscience and Remote Sensing Magazine, 8(1), pp. 154–157. (link)
67. Heng Lu, Lei Ma, Xiao Fu, Chao Liu, Zhi Wang, Min Tang, Naiwen Li (2020). Landslides Information Extraction Using Object-Oriented Image Analysis Paradigm Based on Deep Learning and Transfer LearningRemote Sensing, 12(5), pp. 752. (link)
68. Qingyu Li, Chunping Qiu, Lei Ma, Michael Schmitt, Xiao Zhu (2020). Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth EngineRemote Sensing, 12(4), pp. 602. (link)
69. Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang (2020). Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object DetectionIEEE Geoscience and Remote Sensing Letters, 17(2), pp. 302–306. (link)
70. Lichao Mou, Xiao Xiang Zhu (2020). Learning to Pay Attention on Spectral Domain: A Spectral Attention Module-Based Convolutional Network for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 58(1), pp. 110–122. (link)
71. Yilei Shi, Qingyu Li, Xiao Xiang Zhu (2020). Building Segmentation Through a Gated Graph Convolutional Neural Network with Deep Structured Feature EmbeddingISPRS Journal of Photogrammetry and Remote Sensing, 159, pp. 184–197. (link)
72. Mrinalini Kochupillai, Christoph Lütge, Franziska Poszler (2020). Programming Away Human Rights and Responsibilities? “The Moral Machine Experiment” and the Need for a More “Humane” AV FutureNanoEthics, 14(3), pp. 285–299.
73. Andrea Meraner, Patrick Ebel, Xiao Xiang Zhu, Michael Schmitt (2020). Cloud Removal in Sentinel-2 Imagery Using a Deep Residual Neural Network and SAR-Optical Data FusionISPRS Journal of Photogrammetry and Remote Sensing, 166, pp. 333-346. (link)
74. Christian Geiss, Yue Zhu, Chunping Qiu, Lichao Mou, Xiao Xiang Zhu, Hannes Taubenböck (2020). Deep Relearning in the Geospatial Domain for Semantic Remote Sensing Image SegmentationIEEE Geoscience and Remote Sensing Letters (link)
75. Chunping Qiu, Lukas Liebel, Lloyd H Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu (2020). Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone ClassificationIEEE Geoscience and Remote Sensing Letters, in press.
76. Chunping Qiu, Xiaochong Tong, Michael Schmitt, Benjamin Bechtel, Xiao Xiang Zhu (2020). Multilevel Feature Fusion-Based CNN for Local Climate Zone Classification From Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 DatasetIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 2793–2806. (link)
77. Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu (2020). Joint and Progressive Subspace Analysis (JPSA) With Spatial-Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality ReductionIEEE Transactions on Cybernetics pp. 1-14. (link)
78. Hannes Taubenböck, Henry Debray, Chunping Qiu, Michael Schmitt, Yuanuan Wang, Xiao Xiang Zhu (2020). Seven City Types Representing Morphologic Configurations of Cities Across the GlobeFrontiers in Applied Mathematics and Statistics (link)
79. Homa Ansari, Francesco De Zan, Alessandro Parizzi (2020). Study of Systematic Bias in Measuring Surface Deformation With SAR InterferometryIEEE Transactions on Geoscience and Remote Sensing, in press. (link)
80. Jianzhe Lin, Tianze Yu, Lichao Mou, Xiao Xiang Zhu, Rarab Ward, Zhen Jane Wang (2020). Unifying Top-Down Views by Task-Specific Domain AdaptationIEEE Transactions on Geoscience and Remote Sensing pp. 1-14. (link)
81. Lei Ma, Michael Schmitt, Xiao Xiang Zhu (2020). Uncertainty Analysis of Object-based Land Cover Classification Using Time Series of Sentinel-2 DataRemote Sensing, in press.
82. Lichao Mou, Xiaoqiang Lu, Xuelong Li, Xiao Xiang Zhu (2020). Nonlocal Graph Convolutional Networks for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing pp. 1–12. (link)
83. Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu (2020). ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial VideosIEEE Geoscience and Remote Sensing Magazine, in press. (link)
84. Lina Liu, Lichao Mou, Xiao Xiang Zhu, Mrinal Mandal (2020). Automatic Skin Lesion Classification Based on Mid-level Feature LearningComputerized Medical Imaging and Graphics, 84, pp. 101765. (link)
85. Nan Ge, Richard Bamler, Danfeng Hong, Xiao Xiang Zhu (2020). Single-Look Multi-Master SAR Tomography: An IntroductionIEEE Transactions on Geoscience and Remote Sensing pp. 1–23. (link)
86. Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiao Xiang Zhu (2020). Multisensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 ImageryIEEE Transactions on Geoscience and Remote Sensing pp. 1-13. (link)
87. Qingyu Li, Yilei Shi, Stefan Auer, Robert Roschlaub, Karin Möst, Michael Schmitt, Clemens Glock, Xiao Xiang Zhu (2020). Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural NetworkRemote Sensing, 12(21). (link)
88. Robert Roschlaub, Qingyu Li, Stefan Auer, Karin Möst, Clemens Glock, Yilei Shi, Xiao Xiang Zhu (2020). KI-basierte Detektion von Gebäuden mittels Deep Learning und amtlichen Geodaten zur BaufallerkundungZeitschrift für Geodäsie, Geoinformation und Landmanagement (pdf)
89. Rong Liu, Xiao Xiang Zhu (2020). Endmember Bundle Extraction based on Multi-objective OptimizationIEEE Transactions on Geoscience and Remote Sensing, in press.
90. Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone (2020). Unsupervised Deep Joint Segmentation of Multitemporal High-Resolution ImagesIEEE Transactions on Geoscience and Remote Sensing pp. 1–13. (link)
91. Sudipan Saha, Lichao Mou, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone (2020). Semisupervised Change Detection Using Graph Convolutional NetworkIEEE Geoscience and Remote Sensing Letters pp. 1–5. (link)
92. Thomas Stark, Michael Wurm, Xiao Xiang Zhu, Hannes Taubenbock (2020). Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum MorphologiesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 5251–5263. (link)
93. Xiangyong Cao, Jing Yao, Xueyang Fu, Haixia Bi, Danfeng Hong (2020). An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image ClassificationIEEE Geoscience and Remote Sensing Letters pp. 1–5. (link)
94. Xin Huang, Shuang Li, Jiayi Li, Xiuping Jia, Jun Li, Xiao Xiang Zhu, Jon Atli Benediktsson (2020). A Multispectral and Multiangle 3-D Convolutional Neural Network for the Classification of ZY-3 Satellite Images Over Urban AreasIEEE Transactions on Geoscience and Remote Sensing, in press, pp. 1–20. (link)
95. Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2020). CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR ImagesIEEE Transactions on Geoscience and Remote Sensing, in press.
96. Yuanyuan Wang, Xiao Xiang Zhu (2020). SAR Tomography via Nonlinear Blind Scatterer SeparationIEEE Transactions on Geoscience and Remote Sensing pp. 1–13. (link)
97. Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu (2019). Learning to Propagate Labels on Graphs: An Iterative Multitask Regression Framework for Semi-supervised Hyperspectral Dimensionality ReductionISPRS Journal of Photogrammetry and Remote Sensing, 158, pp. 35–49. (link)
98. Tatjana Bürgmann, Wolfgang Koppe, Michael Schmitt (2019). Matching of TerraSAR-X Derived Ground Control Points to Optical Image Patches Using Deep LearningISPRS Journal of Photogrammetry and Remote Sensing, 158, pp. 241–248. (link)
99. Jingliang Hu, Danfeng Hong, Xiao Xiang Zhu (2019). MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR DataIEEE Transactions on Geoscience and Remote Sensing, 57(11), pp. 9025–9040. (link) (code)
100. Mario Fuentes Reyes, Stefan Auer, Nina Merkle, Corentin Henry, Michael Schmitt (2019). SAR-to-Optical Image Translation Based on Conditional Generative Adversarial Networks—Optimization, Opportunities and LimitsRemote Sensing, 11(17), pp. 2067. (link)
101. Xun Liu, Chenwei Deng, Jocelyn Chanussot, Danfeng Hong, Baojun Zhao (2019). StfNet : A Two-Stream Convolutional Neural Network for Spatiotemporal Image FusionIEEE Transactions on Geoscience and Remote Sensing, 57(9), pp. 6552–6564. (link)
102. Chunping Qiu, Lichao Mou, Michael Schmitt, Xiao Xiang Zhu (2019). Local Climate Zone-based Urban Land Cover Classification From Multi-seasonal Sentinel-2 Images With a Recurrent Residual NetworkISPRS Journal of Photogrammetry and Remote Sensing, 154, pp. 151–162. (link)
103. Matthias Häberle, Martin Werner, Xiao Xiang Zhu (2019). Geo-spatial Text-mining From Twitter – a Feature Space Analysis with a View Toward Building Classification in Urban RegionsEuropean Journal of Remote Sensing, 52(sup2), pp. 2–11. (link)
104. Nan Ge, Xiao Xiang Zhu (2019). Bistatic-Like Differential SAR TomographyIEEE Transactions on Geoscience and Remote Sensing, 57(8), pp. 5883–5893. (link)
105. Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi (2019). Cascaded Recurrent Neural Networks for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 57(8), pp. 5384–5394. (link)
106. Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu (2019). CoSpace: Common Subspace Learning From Hyperspectral-Multispectral CorrespondencesIEEE Transactions on Geoscience and Remote Sensing, 57(7), pp. 4349–4359. (link)
107. Qingpeng Li, Lichao Mou, Qizhi Xu, Yun Zhang, Xiao Xiang Zhu (2019). R 3 -Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and VideosIEEE Transactions on Geoscience and Remote Sensing, 57(7), pp. 5028–5042. (link)
108. Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao (2019). ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel FeaturesIEEE Transactions on Geoscience and Remote Sensing, 57(7), pp. 5146–5158. (link)
109. Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu (2019). An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral UnmixingIEEE Transactions on Image Processing, 28(4), pp. 1923–1938. (link)
110. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2019). Fusion of Multi-Sensor-Derived Heights and OSM-Derived Building Footprints for Urban 3D ReconstructionISPRS International Journal of Geo-Information, 8(4), pp. 193. (link)
111. Yilei Shi, Qingyu Li, Xiao Xiang Zhu (2019). Building Footprint Generation Using Improved Generative Adversarial NetworksIEEE Geoscience and Remote Sensing Letters, 16(4), pp. 603–607. (link)
112. Bo Zhang, Meng Zhang, Jian Kang, Danfeng Hong, Jian Xu, Xiao Xiang Zhu (2019). Estimation of PMx Concentrations from Landsat 8 OLI Images Based on a Multilayer Perceptron Neural NetworkRemote Sensing, 11(6), pp. 646. (link)
113. Jingliang Hu, Danfeng Hong, Yuanyuan Wang, Xiao Zhu (2019). A Comparative Review of Manifold Learning Techniques for Hyperspectral and Polarimetric SAR Image FusionRemote Sensing, 11(6), pp. 681. (link) (code)
114. Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2019). Recurrently Exploring Class-wise Attention in a Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image ClassificationISPRS Journal of Photogrammetry and Remote Sensing, 149, pp. 188–199. (link)
115. Lichao Mou, Lorenzo Bruzzone, Xiao Xiang Zhu (2019). Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral ImageryIEEE Transactions on Geoscience and Remote Sensing, 57(2), pp. 924–935. (link)
116. Michael Schmitt, Gerald Baier, Xiao Xiang Zhu (2019). Potential of Nonlocally Filtered Pursuit Monostatic TanDEM-X Data for Coastline DetectionISPRS Journal of Photogrammetry and Remote Sensing, 148, pp. 130–141. (link)
117. Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu (2019). Buildings Detection in VHR SAR Images Using Fully Convolution Neural NetworksIEEE Transactions on Geoscience and Remote Sensing, 57(2), pp. 1100–1116. (link)
118. Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiao Xiang Zhu (2019). Learnable Manifold Alignment (LeMA): A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use ClassificationISPRS Journal of Photogrammetry and Remote Sensing, 147, pp. 193–205. (link)
119. Lloyd Hughes, Simon Streicher, Ekaterina Chuprikova, Johan Du Preez (2019). A Cluster Graph Approach to Land Cover Classification BoostingData, 4(1), pp. 10. (link)
120. Christian Geiss, Tobias Leichtle, Michael Wurm, Patrick Pelizari, Ines Standfuss, Xiao Xiang Zhu, Emily So, Stefan Siedentop, Thomas Esch, Hannes Taubenböck (2019). Large-Area Characterization of Urban Morphology—Mapping of Built-Up Height and Density Using TanDEM-X and Sentinel-2 DataIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(8), pp. 2912–2927. (link)
121. Eike Jens Hoffmann, Yuanyuan Wang, Martin Werner, Jian Kang, Xiao Xiang Zhu (2019). Model Fusion for Building Type Classification from Aerial and Street View ImagesRemote Sensing, 11. (link)
122. Gui-Song Xia, Jin Huang, Nan Xue, Qikai Lu, Xiao Xiang Zhu (2019). GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing ImagesComputer Vision and Image Understanding, 186, pp. 37–47. (link)
123. Guichen Zhang, Pedram Ghamisi, Xiao Xiang Zhu (2019). Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate ZonesIEEE Transactions on Geoscience and Remote Sensing, 57(10), pp. 7623–7642. (link)
124. Marion Heublein, Fadwa Alshawaf, Bastian Erdnüß, Xiao Xiang Zhu, Stefan Hinz (2019). Compressive Sensing Reconstruction of 3D Wet Refractivity Based on GNSS and InSAR ObservationsJournal of Geodesy volume (link)
125. Michael Wurm, Thomas Stark, Xiao Xiang Zhu, Matthias Weigand, Hannes Taubenböck (2019). Semantic Segmentation of Slums in Satellite Images Using Transfer Learning on Fully Convolutional Neural NetworksISPRS Journal of Photogrammetry and Remote Sensing, 150, pp. 59–69. (link)
126. Tobias Leichtle, Tobia Lakes, Xiao Xiang Zhu, Hannes Taubenböck (2019). Has Dongying Developed to a Ghost City? - Evidence From Multi-temporal Population Estimation Based on VHR Remote Sensing and Census CountsComputers, Environment and Urban Systems, 78, pp. 101372. (link)
127. Yilei Shi, Xiao Xiang Zhu, Richard Bamler (2019). Nonlocal Compressive Sensing-Based SAR TomographyIEEE Transactions on Geoscience and Remote Sensing, 57(5), pp. 3015–3024. (link)
128. Danfeng Hong, Xiao Xiang Zhu (2018). SULoRA: Subspace Unmixing With Low-Rank Attribute Embedding for Hyperspectral Data AnalysisIEEE Journal of Selected Topics in Signal Processing, 12(6), pp. 1351–1363. (link)
129. Hossein Bagheri, Michael Schmitt, Pablo D'Angelo, Xiao Xiang Zhu (2018). A Framework for SAR-Optical Stereogrammetry Over Urban AreasISPRS Journal of Photogrammetry and Remote Sensing, 146, pp. 389–408. (link)
130. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2018). Fusion of Urban TanDEM-X Raw DEMs Using Variational ModelsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), pp. 4761–4774. (link)
131. Qingpeng Li, Lichao Mou, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu (2018). HSF-Net: Multiscale Deep Feature Embedding for Ship Detection in Optical Remote Sensing ImageryIEEE Transactions on Geoscience and Remote Sensing, 56(12), pp. 7147–7161. (link)
132. Xiao Xiang Zhu, Gerald Baier, Marie Lachaise, Yilei Shi, Fathalrahman Adam, Richard Bamler (2018). Potential and Limits of Non-local Means InSAR Filtering for TanDEM-X High-resolution DEM GenerationRemote Sensing of Environment, 218, pp. 148–161. (link)
133. Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao (2018). MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object DetectionRemote Sensing, 10(12), pp. 1990. (link)
134. Jian Kang, Marco Körner, Yuanyuan Wang, Hannes Taubenböck, Xiao Xiang Zhu (2018). Building Instance Classification Using Street View ImagesISPRS Journal of Photogrammetry and Remote Sensing, 145, pp. 44–59. (link)
135. Lichao Mou, Xiao Xiang Zhu (2018). Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional NetworkIEEE Transactions on Geoscience and Remote Sensing, 56(11), pp. 6699–6711. (link)
136. Chunping Qiu, Michael Schmitt, Lichao Mou, Pedram Ghamisi, Xiao Zhu (2018). Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source DatasetsRemote Sensing, 10(10), pp. 1572. (link)
137. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2018). Fusion of TanDEM-X and Cartosat-1 elevation data supported by neural network-predicted weight mapsISPRS Journal of Photogrammetry and Remote Sensing, 144, pp. 285–297. (link)
138. Nan Ge, Fernando Rodriguez Gonzalez, Yuanyuan Wang, Yilei Shi, Xiao Xiang Zhu (2018). Spaceborne Staring Spotlight SAR Tomography—A First Demonstration With TerraSAR-XIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10), pp. 3743–3756. (link)
139. Jingliang Hu, Pedram Ghamisi, Xiao Zhu (2018). Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone ClassificationISPRS International Journal of Geo-Information, 7(9), pp. 379. (link) (code)
140. Lloyd Hughes, Michael Schmitt, Xiao Zhu (2018). Mining Hard Negative Samples for SAR-Optical Image Matching Using Generative Adversarial NetworksRemote Sensing, 10(10), pp. 1552. (link)
141. Sina Montazeri, Fernando Rodr\'iguez González, Xiao Xiang Zhu (2018). Geocoding Error Correction for InSAR Point CloudsRemote Sensing, 10(10), pp. 1523. (link)
142. Xiao Zhu, Yuanyuan Wang, Sina Montazeri, Nan Ge (2018). A Review of Ten-Year Advances of Multi-Baseline SAR Interferometry Using TerraSAR-X DataRemote Sensing, 10(9), pp. 1374. (link)
143. Jian Kang, Yuanyuan Wang, Michael Schmitt, Xiao Xiang Zhu (2018). Object-Based Multipass InSAR via Robust Low-Rank Tensor DecompositionIEEE Transactions on Geoscience and Remote Sensing, 56(6), pp. 3062–3077. (link)
144. Lloyd Haydn Hughes, Michael Schmitt, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu (2018). Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNNIEEE Geoscience and Remote Sensing Letters, 15(5), pp. 784–788. (link)
145. Sina Montazeri, Christoph Gisinger, Michael Eineder, Xiao Xiang Zhu (2018). Automatic Detection and Positioning of Ground Control Points Using TerraSAR-X Multiaspect AcquisitionsIEEE Transactions on Geoscience and Remote Sensing, 56(5), pp. 2613–2632. (link)
146. Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu (2018). Towards Automatic SAR-optical Stereogrammetry Over Urban Areas Using Very High Resolution ImageryISPRS Journal of Photogrammetry and Remote Sensing, 138, pp. 218–231. (link)
147. Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu (2018). Unsupervised Spectral–Spatial Feature Learning via Deep Residual Conv–Deconv Network for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 56(1), pp. 391–406. (link)
148. Danfeng Hong, Xiao Xiang Zhu (2018). Robust Low-Rank Subspace Unmixing of Hyperspectral DataIEEE Journal of Selected Topics in Signal Processing (pdf)
149. Francescopaolo Sica, Davide Cozzolino, Xiao Xiang Zhu, Luisa Verdoliva, Giovanni Poggi (2018). InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase RestorationIEEE Transactions on Geoscience and Remote Sensing, 56(6), pp. 3456–3467. (link)
150. Gerald Baier, Christian Rossi, Marie Lachaise, Xiao Xiang Zhu, Richard Bamler (2018). A Nonlocal InSAR Filter for High-Resolution DEM Generation From TanDEM-X InterferogramsIEEE Transactions on Geoscience and Remote Sensing, 56(11), pp. 6469–6483. (link)
151. Hannes Taubenboeck, Jeroen Staab, Xiao Xiang Zhu, Christian Geiss, Stefan Dech, Michael Wurm (2018). Are the Poor Digitally Left Behind?ISPRS International Journal of Geo-Information, 7, pp. 304. (link)
152. Hao Li, Pedram Ghamisi, Uwe Soergel, Xiao Xiang Zhu (2018). Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural NetworksRemote Sensing, 10(10), pp. 1649. (link)
153. Haobo Lyu, Hui Lu, Lichao Mou, Wenyu Li, Jonathon Wright, Xuecao Li, Xinlu Li, Xiao Xiang Zhu, Jie Wang, Le Yu, Peng Gong (2018). Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat DataRemote Sensing, 10, pp. 3. (link)
154. Jian Kang, Xiao Xiang Zhu (2018). Robust Object-based Multi-pass InSAR Phase Recovery based on Robust Iterative Reweighted Tensor DecompositionIEEE Transactions on Geoscience and Remote Sensing, 56(6). (pdf)
155. Tengyu Ji, Naoto Yokoya, Xiao Xiang Zhu, Tingzhu Huang (2018). Nonlocal Tensor Completion for Multitemporal Remotely Sensed Images' InpaintingIEEE Transactions on Geoscience and Remote Sensing, 56(6), pp. 3047–3061. (link)
156. Yilei Shi, Xiao Xiang Zhu, Wotao Yin, Richard Bamler (2018). A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SARIEEE Transactions on Geoscience and Remote Sensing, 56(10), pp. 6148–6158. (link)
157. Lingfang Zeng, Michael Schmitt, Lin Li, Xiao Xiang Zhu (2017). Analysing Changes of the Poyang Lake Water Area Using Sentinel-1 Synthetic Aperture Radar ImageryInternational Journal of Remote Sensing, 38(23), pp. 7041–7069. (link)
158. Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer (2017). Deep Learning in Remote Sensing: A Comprehensive Review and List of ResourcesIEEE Geoscience and Remote Sensing Magazine, 5(4), pp. 8–36. (link) (code)
159. Stefan Auer, Isabel Hornig, Michael Schmitt, Peter Reinartz (2017). Simulation-Based Interpretation and Alignment of High-Resolution Optical and SAR ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(11), pp. 4779–4793. (link)
160. Jian Kang, Yuanyuan Wang, Marco Korner, Xiao Xiang Zhu (2017). Robust Object-Based Multipass InSAR Deformation ReconstructionIEEE Transactions on Geoscience and Remote Sensing, 55(8), pp. 4239–4251. (link)
161. Lichao Mou, Xiao Xiang Zhu, Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Paragios, B. Le Saux, Gabriele Moser, Devis Tuia (2017). Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion ContestIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(8), pp. 3435–3447. (link)
162. Hui Bi, Bingchen Zhang, Xiao Xiang Zhu, Chenglong Jiang, Wen Hong (2017). Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth–Range Decouple L1 Regularization for TOPS SAR Imaging via CAMPIEEE Transactions on Geoscience and Remote Sensing, 55(7), pp. 3748–3763. (link)
163. Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu (2017). Deep Recurrent Neural Networks for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing, 55(7), pp. 3639–3655. (link)
164. Danfeng Hong, Naoto Yokoya, Xiao Xiang Zhu (2017). Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality ReductionIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(6), pp. 2960–2975. (link)
165. Hui Bi, Bingchen Zhang, Xiao Xiang Zhu, Wen Hong, Jinping Sun, Yirong Wu (2017). L1 -Regularization-Based SAR Imaging and CFAR Detection via Complex Approximated Message PassingIEEE Transactions on Geoscience and Remote Sensing, 55(6), pp. 3426–3440. (link)
166. Yuanyuan Wang, Xiao Xiang Zhu, Bernhard Zeisl, Marc Pollefeys (2017). Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure MonitoringIEEE Transactions on Geoscience and Remote Sensing, 55(1), pp. 14–26. (link)
167. Hui Bu, Xiao Xiang Zhu (2017). Azimuth-range Decouple-based L1 Regularization Method for Wide ScanSAR Imaging via Extended Chirp ScalingJ. of Applied Remote Sensing, 11(1). (code)
168. Naoto Yokoya, Claas Grohnfeldt, Jocely Chanussot (2017). Hyperspectral and Multispectral Data Fusion: A comparative Review of the Recent LiteratureIEEE Geoscience and Remote Sensing Magazine, 5(2), pp. 29–56. (link)
169. Naoto Yokoya, Xiao Xiang Zhu, Antonio Plaza (2017). Multisensor Coupled Spectral Unmixing for Time-Series AnalysisIEEE Transactions on Geoscience and Remote Sensing, 55(5), pp. 2842–2857. (link)
170. Pedram Ghamisi, Bernhard Höfle, Xiao Xiang Zhu (2017). Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural NetworkIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(6), pp. 3011–3024. (link)
171. Michael Schmitt, Xiao Xiang Zhu (2016). Data Fusion and Remote Sensing: An Ever-growing RelationshipIEEE Geoscience and Remote Sensing Magazine, 4(4), pp. 6–23. (link)
172. Sina Montazeri, Xiao Xiang Zhu, Michael Eineder, Richard Bamler (2016). Three-Dimensional Deformation Monitoring of Urban Infrastructure by Tomographic SAR Using Multitrack TerraSAR-X Data StacksIEEE Transactions on Geoscience and Remote Sensing, 54(12), pp. 6868–6878. (link)
173. Michael Schmitt, Xiao Xiang Zhu (2016). Demonstration of Single-Pass Millimeterwave SAR Tomography for Forest VolumesIEEE Geoscience and Remote Sensing Letters, 13(2), pp. 202–206. (link)
174. Yuanyuan Wang, Xiao Xiang Zhu (2016). Robust Estimators for Multipass SAR InterferometryIEEE Transactions on Geoscience and Remote Sensing, 54(2), pp. 968–980. (link)
175. Xiao Xiang Zhu, Sina Montazeri, Christoph Gisinger, Ramon F Hanssen, Richard Bamler (2016). Geodetic SAR TomographyIEEE Transactions on Geoscience and Remote Sensing, 54(1), pp. 18–35. (link)
176. Muhammad Shahzad, Xiao Xiang Zhu (2016). Automatic Detection and Reconstruction of 2-D/3-D Building Shapes From Spaceborne TomoSAR Point CloudsIEEE Transactions on Geoscience and Remote Sensing, 54(3), pp. 1292–1310. (link)
177. P Ghamisi, R Souza, J A Benediktsson, L Rittner, R Lotufo, X X Zhu (2016). Hyperspectral Data Classification Using Extended Extinction ProfilesIEEE Geoscience and Remote Sensing Letters, 13(11), pp. 1641–1645. (link)
178. Pedram Ghamisi, Roberto Souza, Jon Benediktsson, Xiao Xiang Zhu, Leticia Rittner, Roberto Lotufo (2016). Extinction Profiles for the Classification of Remote Sensing DataIEEE Transactions on Geoscience and Remote Sensing, 54(10), pp. 5631–5645. (link)
179. Pedram Ghamisi, Yushi Chen, Xiao Xiang Zhu (2016). A Self-Improving Convolution Neural Network for the Classification of Hyperspectral DataIEEE Geoscience and Remote Sensing Letters, 13(10), pp. 1537–1541. (link)
180. Xiangyin Quan, Bingchen Zhang, Xiao Xiang Zhu, Yirong Wu (2016). Unambiguous SAR Imaging for Nonuniform DPC Sampling: lq Regularization Method Using Filter BankIEEE Geoscience and Remote Sensing Letters, 13(11), pp. 1596–1600. (link)
181. Xiao Xiang Zhu, Claas Grohnfeldt, Richard Bamler (2016). Exploiting Joint Sparsity for Pansharpening: The J-SparseFI AlgorithmIEEE Transactions on Geoscience and Remote Sensing, 54(5), pp. 2664–2681. (link)
182. Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi (2016). Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural NetworksIEEE Transactions on Geoscience and Remote Sensing, 54(10), pp. 6232–6251. (link)
183. Xiao Xiang Zhu, Nan Ge, Muhammad Shahzad (2015). Joint Sparsity in SAR Tomography for Urban MappingIEEE Journal of Selected Topics in Signal Processing, 9(8), pp. 1498–1509. (link)
184. Michael Schmitt, Muhammad Shahzad, Xiao Xiang Zhu (2015). Reconstruction of Individual Trees From Multi-aspect TomoSAR DataRemote Sensing of Environment, 165, pp. 175–185. (link)
185. Christoph Gisinger, Ulrich Balss, Roland Pail, Xiao Xiang Zhu, Sina Montazeri, Stefan Gernhardt, Michael Eineder (2015). Precise Three-Dimensional Stereo Localization of Corner Reflectors and Persistent Scatterers With TerraSAR-XIEEE Transactions on Geoscience and Remote Sensing, 53(4), pp. 1782–1802. (link)
186. Jakub Bieniarz, Esteban Aguilera, Xiao Xiang Zhu, Rupert Müller, Peter Reinartz (2015). Joint Sparsity Model for Multilook Hyperspectral Image UnmixingIEEE Geoscience and Remote Sensing Letters, 12(4), pp. 696–700. (link)
187. Michael Schmitt, Uwe Stilla (2015). Möglichkeiten der Erzeugung städtischer Oberflächenmodelle mit interferometrischer SAR-Fernerkundunggis.Science, 2, pp. 62–70. (link)
188. Muhammad Shahzad, Xiao Xiang Zhu (2015). Robust Reconstruction of Building Facades for Large Areas Using Spaceborne TomoSAR Point CloudsIEEE Transactions on Geoscience and Remote Sensing, 53(2), pp. 752–769. (link)
189. Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2014). An Efficient Tomographic Inversion Approach for Urban Mapping Using Meter Resolution SAR Image StacksIEEE Geoscience and Remote Sensing Letters, 11(7), pp. 1250–1254. (link)
190. Xiao Xiang Zhu, Muhammad Shahzad (2014). Facade Reconstruction Using Multiview Spaceborne TomoSAR Point CloudsIEEE Transactions on Geoscience and Remote Sensing, 52(6), pp. 3541–3552. (link)
191. Xiao Xiang Zhu, Richard Bamler (2014). Superresolving SAR Tomography for Multidimensional Imaging of Urban Areas: Compressive sensing-based TomoSAR inversionIEEE Signal Processing Magazine, 31(4), pp. 51–58. (link)
192. Yuanyuan Wang, Xiao Xiang Zhu (2014). Automatic Feature-Based Geometric Fusion of Multiview TomoSAR Point Clouds in Urban AreaIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3), pp. 1–1. (link)
193. Yilei Shi, Xiao Xiang Zhu, Marco Ellero, Nikolaus A Adams (2013). Analysis of Interpolation Schemes for the Accurate Estimation of Energy Spectrum in Lagrangian MethodsComputers & Fluids, 82, pp. 122–131. (link)
194. Michael Eineder, Richard Bamler, Xiao Ying Cong, Stefan Gernhardt, Thomas Fritz, Xiao Xiang Zhu, Ulrich Balss, Helko Breit, Nico Adam, Dana Floricioiu (2013). Globale Kartierung und lokale Deformationsmessungen mit den Satelliten TerraSAR-X und TanDEM-XJournal for Geodesy, Geo Information and Land Management, 1, pp. 77-84. (link)
195. Xiao Xiang Zhu, Richard Bamler (2013). A Sparse Image Fusion Algorithm With Application to Pan-SharpeningIEEE Transactions on Geoscience and Remote Sensing, 51(5), pp. 2827–2836. (link)
196. Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2012). Retrieval of Phase History Parameters from Distributed Scatterers in Urban Areas Using Very High Resolution SAR DataISPRS Journal of Photogrammetry and Remote Sensing, 73, pp. 89–99. (link)
197. Gianfranco Fornaro, Diego Reale, Antonio Pauciullo, Xiao Xiang Zhu, Richard Bamler (2012). SAR Tomography: An Advanced Tool for Spaceborne 4D Radar Scanning with Application to Imaging and Monitoring of Cities and Single BuildingsIEEE Geoscience and Remote Sensing Newsletter, 165, pp. 10–18. (pdf)
198. Xiao Xiang Zhu, Richard Bamler (2012). Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban EnvironmentIEEE Transactions on Geoscience and Remote Sensing, 50(8), pp. 3150–3157. (link)
199. Xiao Xiang Zhu, Richard Bamler (2012). Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SARIEEE Transactions on Geoscience and Remote Sensing, 50(1), pp. 247–258. (link)
200. Diego Reale, Gianfranco Fornaro, Antonio Pauciullo, Xiao Xiang Zhu, Richard Bamler (2011). Tomographic Imaging and Monitoring of Buildings With Very High Resolution SAR DataIEEE Geoscience and Remote Sensing Letters, 8(4), pp. 661–665. (link)
201. Xiao Xiang Zhu, Richard Bamler (2011). Let's Do the Time Warp: Multicomponent Nonlinear Motion Estimation in Differential SAR TomographyIEEE Geoscience and Remote Sensing Letters, 8(4), pp. 735–739. (link)
202. Xiao Xiang Zhu, Richard Bamler (2010). Very High Resolution Spaceborne SAR Tomography in Urban EnvironmentIEEE Transactions on Geoscience and Remote Sensing, 48(12), pp. 4296–4308. (link)
203. Xiao Xiang Zhu, Richard Bamler (2010). Tomographic SAR Inversion by L1 -Norm Regularization—The Compressive Sensing ApproachIEEE Transactions on Geoscience and Remote Sensing, 48(10), pp. 3839–3846. (link)
204. Richard Bamler, Michael Eineder, Nico Adam, Xiao Xiang Zhu, Stefan Gernhardt (2009). Interferometric Potential of High Resolution Spaceborne SARPhotogrammetrie - Fernerkundung - Geoinformation, 2009(5), pp. 407–419. (link)

Double-Blind Peer-Reviewed Conference Papers

1. Laura Cue La Rosa, Dario Augusto Borges Oliveira (2021). Learning from Label Proportions with Prototypical Contrastive Clustering. In Thirty-Sixth AAAI Conference on Artificial Intelligence, Main Track.
2. Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiao Xiang Zhu (2021). ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AI for Social Impact Track.
3. Muhammad G. Javed, Muhammad Raza, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Muhammad Shahzad, Faisal Shafait (2021). QuantYOLO: A High-Throughput and Power-Efficient Object Detection Network for Resource and Power Constrained UAVs. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2021.
4. Nosheen Abid, Muhammad Imran Malik, Muhammad Shahzad, Faisal Shafait, H Ali, Muhammad Mohsin Ghaffar, Christian Weis, Norbert Wehn, Marcus Liwicki (2021). Burnt Forest Estimation from Sentinel-2 Imagery of Australia using Unsupervised Deep Learning. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2021.
5. Nouman Ahmed, Sudipan Saha, Muhammad Shahzad, Muhammad Moazam Fraz, Xiao Xiang Zhu (2021). Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.
6. David Mandl, Peter Mohr, Stefanie Zollmann, Tobias Langlotz, Shohei Mori, Christoph Ebner, Peter M. Roth, Denis Kalkofen (2021). Learning Camera Characteristics for Coherent Mixed Reality Rendering. In IEEE International Symposium on Mixed and Augmented Reality.
7. Mina Basirat, Peter M. Roth (2021). S*ReLU: Learning Piecewise Linear Activation Functions via ParticleSwarm Optimization. In International Conference on Computer Vision Theory and Applications.
8. Patrick Ebel, Sudipan Saha, Xiao Xiang Zhu (2021). Fusing Multi-modal Data for Supervised Change Detection. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
9. Sudipan Saha, Lukas Kondmann, Xiao Xiang Zhu (2021). Deep No Learning Approach for Unsupervised Change Detection in Hyperspectral Images. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
10. Chunping Qiu, Paolo Gamba, Michael Schmitt, Xiao Xiang Zhu (2020). Learning from Noisy Samples for Man-made Impervious Surface Mapping. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
11. Danfeng Hong, Jing Yao, Xin Wu, Chanussot Jocelyn, Xiao Xiang Zhu (2020). Spatial-Spectral Manifold Embedding of Hyperspectral Data. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
12. Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiao Xiang Zhu, Dejing Dou (2020). Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. In European Conference on Computer Vision 2020.
13. Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiao Xiang Zhu, Zongben Xu (2020). Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. In European Conference on Computer Vision.
14. Jingliang Hu, Lichao Mou, Xiao Xiang Zhu (2020). Unsupervised Domain Adaptation using a Teacher-student Network for Cross-city Classification of Sentinel-2 Images. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
15. Lichao Mou, Yuansheng Hua, Jin Pu, Xiao Xiang Zhu (2020). Global Message Passing in Networks via Task-driven Random Walks for Semantic Segmentation of Remote Sensing Images. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020.
16. Michael Schmitt, Jonathan Prexl, Parick Ebel, Lukas Liebel, Xiao Xiang Zhu (2020). Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping - Challenges and Opportunities. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
17. Qingyu Li, Yilei Shi, Stefan Auer, Xiao Xiang Zhu (2020). Detection of Undocumented Buildings using Convolutional Neural Network and Official Geodata. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020.
18. Rong Liu, Xiao Xiang Zhu (2020). Improved Endmember Bundle Extraction based on Multi-Objective Particle Swarm Optimization. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020.
19. Saqib Ali Khan, Yilei Shi, Muhammad Shahzad, Xiao Xiang Zhu (2020). FGCN: Deep Feature-Based Graph Convolutional Network for Semantic Segmentation of Urban 3D Point Clouds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.
20. Sina Montazeri, Xiao Xiang Zhu (2020). Geodetic InSAR: Detailed Urban Area Mapping with Absolute Coordinates. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020.
21. Xiao Xiang Zhu (2020). AI4EO: Reasoning, Uncertainty, Ethics and Beyond. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
22. Xiao Xiang Zhu (2020). Deep Learning for Mapping Global Urban Morphology from Space. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
23. Yao Sun, Montazeri Sina, Yuanyuan Wang, Xiao Xiang Zhu (2020). Towards Large-scale Building Heights Estimation from SAR Images: Automatic Registration of A Single SAR Image and 2D GIS Building Data. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
24. Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu (2020). Feature Relevance Point Cloud Classification with Imperfect Training Data. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
25. Lloyd Haydn Hughes, Michael Schmitt (2019). A Semi-Supervised Approach to SAR-Optical Image Matching. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
26. Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu (2019). A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. In IEEE Conference on Computer Vision and Pattern Recognition. (link)
27. Michael Schmitt, Lloyd Hadn Hughes, Chunping Qiu, Xiao Xiang Zhu (2019). Aggregating Cloud-free Sentinel-2 Images With Google Earth Engine. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
28. Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, Xiao Xiang Zhu (2019). SEN12MS - A Curated Dataset of Georeferenced Multi-spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
29. Rong Huang, Zhen Ye, Danfeng Hong, Yusheng Xu, Uwe Stilla (2019). Semantic Labeling and Refinment of Lidar Point Clouds Using Deep Neural Networkin Urban AreasISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4.
30. Lloyd Haydn Hughes, Stefan Auer, Michael Schmitt (2018). Investigation of Joint Visibility Between SAR and Optical Images of Urban Environments. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
31. Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Xiao Xiang Zhu (2018). Effect of the Training Set Configuration on Sentinel-2-based Urban Local Climate Zone Classification.. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
32. Danfeng Hong, Naoto Yokoya, Jian Xu, Xiao Xiang Zhu (2018). Joint & Progressive Learning From High-dimensional Data for Multi-label Classification. In Proceedings of the European Conference on Computer Vision (ECCV).
33. Michael Schmitt, Lloyd Haydn Hughes, Xiao Xiang Zhu (2018). The SEN1-2 Dataset for Deep Learning in SAR-optical Data Fusion. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
34. Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu (2017). A Tie Point Matching Strategy for Very High Resolution SAR-Optical Stereogrammety Over Urban Areas. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
35. Yuanyuan Wang, Xiao Xiang Zhu (2017). Earth Observation Using SAR and Social Media Images. In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
36. Jingliang Hu, Rui Guo, Xiao Xiang Zhu, Gerald Baier, Yuanyuan Wang (2015). Non-local Means Filter for Polarimetric SAR Speckle Reduction-experiments Using TerraSAR-x DataISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Single-Blind Peer-Reviewed Conference Papers

1. Yilei Shi, Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu (2020). Generation of Large-Scale High Quality 3-D Urban Models. In 2020 IEEE Radar Conference (RadarConf20).
2. Yilei Shi, Richard Bamler, Yuanyuan Wang, Xiao Xiang Zhu (2021). Generation of Large Scale 3-D City Models Using Insar and Optical Data. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
3. Yuanyuan Wang, Kun Qian, Xiao Xiang Zhu (2021). Efficient SAR Tomographic Inversion via Sparse Bayesian Learning. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
4. Konrad Heidler, Lichao Mou, Celia Baumhoer, Andreas Dietz, Xiao Xiang Zhu (2021). HED-UNet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
5. Konrad Heidler, Lichao Mou, Xiao Xiang Zhu (2021). Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
6. Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu (2021). Internal Learning for Sequence-to-Sequence Cloud Removal via Synthetic Aperture Radar Prior Information. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
7. Jonas Gütter, Anna Kruspe, Xiao Xiang Zhu (2021). An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
8. Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2021). Conditional GIS-Aware Network for Individual Building Segmentation in a VHR SAR Image. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
9. Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiao Xiang Zhu (2021). DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. In Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track (Round 2). (link)
10. Eike Jens Hoffmann, Mohsin Ali, Xiao Xiang Zhu (2021). Zooming into Uncertainties: Towards Fusing Multi Zoom Level Imagery for Urban Land Use Segmentation. In International Geoscience and Remote Sensing Symposium (IGARSS).
11. Antonius Scherer, Tobias Guggemos, Sophia Grundner-Culemann, Nikolas Pomplun, Sven Prüfer, Andreas Spörl (2021). OnCall Operator Scheduling for Satellites with Grover's Algorithm. In International Conference on Computational Science. (link)
12. Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu (2021). Compact Neural Architecture Search for Local Climate Zones Classification. In ESANN 2021, 29th European Symposium on Artificial Neural Networks, Bruges, Belgium, 2021, Proceedings.
13. Nils Mäurer, Thomas Gräupl, Christop Gentsch, Tobias Guggemos, Marcel Tiepelt, Corinna Schmitt, Gabi Dreo Rodosek (2021). The Secure Cell Attachment Procedure of LDACS. In IEEE European Symposium on Security and Privacy, Safety vs Security in the Air and on the Ground.
14. Homa Ansari, Marc Russwurm, Syed Mohsin Ali, Sina Montazeri, Alessandro Parizzi, Xiao Xiang Zhu (2021). InSAR Displacement Time Series Mining: A Machine Learning Approach. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
15. Jakob Gawlikowski, Sudipan Saha, Anna Kruspe, Xiao Xiang Zhu (2021). Towards Out-of-distribution Detection for Remote Sensing. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
16. Jonathan Prexl, Sudipan Saha, Xiao Xiang Zhu (2021). Mitigating Spatial and Spectral Differences for Change Detection Using Super-resolution and Unsupervised Learning. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
17. Kun Qian, Yuanyuan Wang, Xiao Xiang Zhu (2021). Towards SAR Tomographic Inversion via Sparse Bayesian Learning. In EUSAR 2021; 13th European Conference on Synthetic Aperture Radar.
18. Lukas Kondmann, Hannes Taubenböck, Xiao Xiang Zhu (2021). Blinded by the Light: Monitoring Local Economic Development Over Time With Nightlight Emissions. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
19. Mrinalini Kochupillai (2021). Outline of a Novel Approach for Indentifying Ethical Issues in Early Stages of Research. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
20. Roland Perko, Mario Theuermann, Manfred Klopschitz, Thomas Schnabel, Peter M. Roth (2021). Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing. In International Geoscience and Remote Sensing Symposium (IGARSS).
21. Sudipan Saha, Biplab Banerjee, Xiao Xiang Zhu (2021). Trusting Small Training Dataset for Supervised Change Detection. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
22. Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri (2021). Novel Actor Dual-Critic Model for Remote Sensing Image Captioning. In International conference on pattern recognition.
23. Danfeng Hong, Yao Jing, Jocelyn Chanussot, Xiao Xiang Zhu (2020). Unsupervised Hyperspectral Embedding by Learning A Deep Regression Network. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
24. Gustau Camps-Valls, Markus Reichstein, Xiao Xiang Zhu (2020). Advancing Deep Learning for Earth Sciences: From Hybrid Modeling to Interpretability. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
25. Homa Ansari, Francesco De Zan, Alessandro Parizzi (2020). Systematic Interferometric Phase Biases and their Impact on Earth Surface Deformation Monitoring. In 13th European Conference on Synthetic Aperture Radar - postponed to 2021.
26. Jakob Gawlikowski, Michael Schmitt, Anna Kruspe, Xiao Xiang Zhu (2020). On the Fusion Strategies OF Sentinel-1 and Sentinel-2 Data For Local Climate Zone Classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
27. Lichao Mou, Yuansheng Hua, Pu Jin, Yilei Shi, Xiao Xiang Zhu (2020). Event and Activity Recognition in Aerial Videos using Deep Neural Networks and a New Dataset. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
28. Patrick Ebel, Andrea Meraner, Michael Schmitt, Xiao Xiang Zhu (2020). Cloud Removal in Unpaired Sentinel-2 Imagery Using Cycle-Consistent GAN and SAR-Optical Data Fusion. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2020.
29. Philipp Sibler, Yuanyuan Wang, Stefan Auer, Mohsin Ali, Xiao Xiang Zhu (2020). Generative Adversarial Networks for Synthesizing InSAR Patches. In European Conference on Synthetic Aperture Radar.
30. Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu (2020). Instance Segmentation of Buildings Using Keypoints. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
31. Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu (2020). A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images Based on Deep Learning. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
32. Yilei Shi, Qingyu Li, Xiao Xiang Zhu (2020). Building Extraction by Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
33. Ying Zhang, Lichao Mou, Xiao Xiang Zhu (2020). Vision-Based Scattering Key-Frame Extraction for VideoSAR Summarization. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
34. Yuansheng Hua, Devis Tuia, Lichao Mou, Xiao Xiang Zhu (2020). Learning Multi-label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
35. Yilei Shi, Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2019). Non-Local SAR Tomography for Large-Scale Urban Mapping. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019, Yokohama, Japan. (link)
36. Yuanyuan Wang, Xiao Xiang Zhu (2019). The Challenge of Creating the Sarptical Dataset. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
37. Chunping Qiu, Michael Schmitt, Hannes Taubenböck, Xiao Xiang Zhu (2019). Mapping Human Settlements with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt. In Joint Urban Remote Sensing Event.
38. Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu (2019). Fusing Multi-Seasonal Sentinel-2 Images with Residual Convolutional Neural Networks for Local Climate Zone-Derived Urban Land Cover Classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
39. Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu (2019). Mapping Impervious Surfaces with Multi-seasonal Sentinel-2 Imagery and Deep Neural Networks. In 2019 Joint Urban Remote Sensing Event (JURSE).
40. Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Uta Heiden, Wieke Heldens, Xiao Xiang Zhu (2019). WU-Net: A Weakly-Supervised Unmixing Network for Remotely Sensed Hyperspectral Imagery. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
41. Eike Jens Hoffmann, Martin Werner, Xiao Xiang Zhu (2019). Building Instance Classification using Social Media Images. In 2019 Joint Urban Remote Sensing Event (JURSE).
42. Eike Jens Hoffmann, Martin Werner, Xiao Xiang Zhu (2019). Mutual Information Analysis of Social Media Images and Building Functions. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
43. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2019). Towards the Reconstruction of Prismatic Building Models by SAR-Optical Stereogrammetry. In Joint Urban Remote Sensing Event.
44. Jingliang Hu, Danfeng Hong, Yuanyuan Wang, Xiao Xiang Zhu (2019). A Topological Data Analysis Guided Fusion Algorithm: Mapper-Regularized Manifold Alignment. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
45. Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu (2019). Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images. In IEEE International Geoscience and Remote Sensing Symposium.
46. Lloyd Haydn Hughes, Nina Merkle, Tatjana Burgmann, Stefan Auer, Michael Schmitt (2019). Deep Learning for SAR-optical Image Matching. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
47. Matthias Häberle, Martin Werner, Xiao Xiang Zhu (2019). Building Type Classification from Social Media Texts via Geo-spatial Textmining. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
48. Qingyu Li, Yilei Shi, Xiao Xiang Zhu (2019). BFGAN–Building Footprint Extraction from Satellite Images. In 2019 Joint Urban Remote Sensing Event (JURSE).
49. Qingyu Li, Yilei Shi, Xiao Xiang Zhu (2019). Building Footprint Extraction with Graph Convolutional Network. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
50. Scott Hensley, Brain Hawkins, Thierry Michel, Ron Muellerschoen, Xiao Xiang Zhu, Andres Reigber, Gustavo Martín del Campo (2019). Uavsar Tomography of Munich. In IEEE International Geoscience and Remote Sensing Symposium.
51. Sina Montazeri, Fernando Rodriguez Gonzalez, Xiao Xiang Zhu (2019). Mitigation of Positioning Bias in PSI Point Clouds. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
52. Thomas Stark, Michael Wurm, Hannes Taubenböck, Xiao Xiang Zhu (2019). Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. In 2019 Joint Urban Remote Sensing Event (JURSE).
53. Thomas Stark, Michael Wurm, Hannes Taubenböck, Xiao Xiang Zhu (2019). Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features. In 2019 Joint Urban Remote Sensing Event (JURSE).
54. Xin Wu, Danfeng Hong, Jiaojiao Tian, Ralph Kiefl, Ran Tao (2019). A Weakly-Supervised Deep Network for DSM-Aided Vehicle Detection. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
55. Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao (2019). LW-ODF: A Light-Weight Object Detection Framework for Optical Remote Sensing Imagery. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
56. Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2019). Large-scale Building Height Estimation from Single VHR SAR image Using Fully Convolutional Network and GIS building footprints. In Joint Urban Remote Sensing Event (JURSE).
57. Yao Sun, Yuanyuan Wang, Xiao Xiang Zhu (2019). Automatic Registration of SAR Image and GIS Building Footprints Data in Dense Urban Area. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
58. Yilei Shi, Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2019). Large-Scale Urban Mapping using Small Stack Multi-baseline TanDEM-X Interferograms. In Joint Urban Remote Sensing Event (JURSE).
59. Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2019). Label Relation Inference for Multi-Label Aerial Image Classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
60. Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2019). Multi-label Aerial Image Classification using A Bidirectional Class-wise Attention Network. In Joint Urban Remote Sensing Event.
61. Yilei Shi, Yuanyuan Wang, Richard Bamler, Xiao Xiang Zhu (2018). Towards High-resolution Global Urban 3D Model From TanDEM-X Data. In EARSeL 5th Joint Workshop “Urban Remote Sensing – Challenges & Solutions”, Bochum, Germany. (link)
62. Jian Kang, Yuanyuan Wang, Xiao Xiang Zhu (2018). Multi-pass SAR Interferometry for 3D Reconstruction of Complex Mountainous Areas Based on Robust Low Rank Tensor Decomposition. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018, Valencia, Spain. (link)
63. Yilei Shi, Yuanyuan Wang, Jian Kang, Marie Lachaise, Xiao Xiang Zhu, Richard Bamler (2018). 3D Reconstruction From Very Small TanDEM-X Stacks. In 12th European Conference on Synthetic Aperture Radar 2018. (link)
64. Yuanyuan Wang, Xiao Xiang Zhu (2018). Robust Nonlinear Blind SAR Tomography in Urban Areas. In 12th European Conference on Synthetic Aperture Radar 2018.
65. Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu (2018). Feature Importance Analysis of Sentinel-2 Imagery for Large-scale Urban Local Climate Zone Classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
66. Claas Grohnfeldt, Michael Schmitt, Xiao Xiang Zhu (2018). A Conditional Generative Adversarial Network to Fuse SAR and Multispectral Optical Data for Cloud Removal From Sentinel-2 Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
67. Claas Grohnfeldt, Xiao Xiang Zhu (2018). An Image Super-Resolulution Algorithm for the EnMAP Mission Using Sentinel-2 Data as Free Auxiliary Input. In Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
68. Danfeng Hong, Naoto Yokoya, Xiao Xiang Zhu, Jocelyn Chanussot (2018). Learning A Common Subspace from Hyperspectral-Multispectral Correspondences. In Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
69. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2018). Urban TanDEM-X Raw DEM Fusion Based on TV-L1 and Huber Models. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
70. Jian Kang, Yuanyuan Wang, Xiao Xiang Zhu (2018). Low Rank Modeling Based Multi-pass InSAR Technique. In 12th European Conference on Synthetic Aperture Radar 2018, Aachen, Germany.
71. Jingliang Hu, Xiao Xiang Zhu (2018). Exploring Sentinel-L Data for Local Climate Zone Classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
72. Lichao Mou, Xiao Xiang Zhu (2018). A Recurrent Convolutional Neural Network for Land Cover Change Detection in Multispectral Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
73. Lloyd H Hughes, Michael Schmitt, Xiao Xiang Zhu (2018). Generative Adversarial Networks for Hard Negative Mining in CNN-based SAR-Optical Image Matching. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
74. Qingpeng Li, Lichao Mou, Kaiyu Jiang, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu (2018). Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
75. Qingpeng Li, Lichao Mou, Kaiyu Jiang, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu (2018). Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images. In IEEE International Geoscience and Remote Sensing Symposium.
76. Rong Huang, Hannes Taubenböck, Lichao Mou, Xiao Xiang Zhu (2018). Classification of Settlement Types From Tweets Using LDA and LSTM. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
77. Xiao Xiang Zhu, Yao Sun, Yilei Shi, Yuanyuan Wang, Nan Ge (2018). Towards Global 3D/4D Urban Modeling Using TanDEM-X Data. In 12th European Conference on Synthetic Aperture Radar.
78. Yilei Shi, Xiao Xiang Zhu, Richard Bamler (2018). SAR Tomography using Non-local Sparse Reconstruction. In IEEE International Geoscience and Remote Sensing Symposium.
79. Yilei Shi, Xiao Xiang Zhu, Wang Yin, Richard Bamler (2018). An Efficient Algorithm for Compressive Sensing Based SAR Tomography. In European Conference on Synthetic Aperture Radar.
80. Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2018). LAHNet: A Convolutional Neural Network Fusing Low-and High-Level Features for Aerial Scene Classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
81. Yuanyuan Wang, Xiao Xiang Zhu (2018). The SARptical Dataset for Joint Analysis of SAR and Optical Image in Dense Urban Area. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018.
82. Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wang Yin, Xiao Xiang Zhu (2017). Robust Linear Unmixing With Enhanced Sparsity. In IEEE International Conference on Image Processing (ICIP).
83. Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu (2017). Comparative Evaluation of Signal-Based and Descriptor-based Similarity Measures for SAR-optical Image Matching. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
84. Cristian Rossi, Gerald Baier, Paola Rizzoli, José L Bueso Bello (2017). Topographical Changes Caused by the 2016 Central Italy Earthquake Series. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
85. Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu (2017). Learning a Low-coherence Dictionary to Address Spectral Variability for Hyperspectral Unmixing. In 2017 IEEE International Conference on Image Processing (ICIP).
86. Gerald Baier, Cristian Rossi, Marie Lachaise, Xiao Xiang Zhu, Richard Bamler (2017). A Nonlocal InSAR Filter for High Resolution DEM Generation From TanDEM-X Interferograms. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
87. Gerald Baier, Cristian Rossi, Marie Lachaise, Xiao Xiang Zhu, Richard Bamler (2017). High-Resolution DEM Generation by Nonlocal Filtering of TanDEM-X Interferograms. In 10th International Workshop on Advances in the Science and Applications of SAR Interferometry and Sentinel-1 In SAR.
88. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2017). Fusion of TanDEM-X and Cartosat-1 DEMs Using TV-norm Regularization and ANN-predicted Weights. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
89. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2017). Fusion of TanDEM-X and Cartosat-1 DEMs using TV-norm Regularization and ANN-predicted Weights. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
90. Jian Kang, Yuanyuan Wang, Marco Körner, Xiao Xiang Zhu (2017). Improve Multi-baseline InSAR Parameter Retrieval by Semantic Information from Optical Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
91. Jingliang Hu, Lichao Mou, Andreas Schmitt, Xiao Xiang Zhu (2017). FusioNet: A Two-stream Convolutional Neural Network for Urban Scene Classification Using PolSAR and Hyperspectral Data. In 2017 Joint Urban Remote Sensing Event.
92. Jingliang Hu, Yuanyuan Wang, Pedram Ghamisi, Xiao Xiang Zhu (2017). Evaluation of Polsar Similarity Measures With Spectral Clustering. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
93. Jingliang Hu, Yuanyuan Wang, Pedram Ghamisi, Xiao Xiang Zhu (2017). Evaluation of Polsar Similarity Measures With Spectral Clustering. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
94. Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu (2017). A CNN for the Identification of Corresponding Patches in SAR and Optical Imagery of Urban Scenes. In 2017 Joint Urban Remote Sensing Event (JURSE).
95. Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu (2017). Identifying Corresponding Patches in SAR and Optical Imagery With a Convolutional Neural Network. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
96. Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu (2017). Fully Conv-Deconv Network for Unsupervised Spectral-Spatial Feature Extraction of Hyperspectral Imagery via Residual Learning. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
97. Marion Heublein, Fadwa Alshawaf, Xiao Xiang Zhu, Stefan Hinz (2017). Robust GNSS and InSAR Tomography of Neutrospheric Refractivity Using a Compressive Sensing Approach. In European Geosciences Union General Assembly.
98. Martin Klotz, Michael Wurm, Xiao Xiang Zhu, Hannes Taubenböck (2017). Digital Deserts on the Ground and From Space. In Joint Urban Remote Sensing Event (JURSE).
99. Michael Schmitt, Florence Tupin, Xiao Xiang Zhu (2017). Fusion of SAR and Optical Remote Sensing Data - Challenges and Recent Trends. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
100. Muhammad Shahzad, Michael Maurer, Friedrich Fraundorfer, Yuanyuan Wang, Xiao Xiang Zhu (2017). Buildings Extraction in SAR Images Using Intuitive Deep Learning Approach. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
101. Pedram Ghamisi, Behnood Rasti, Xiao Xiang Zhu (2017). Feature fusion of hyperspectral and lidar data using extinction profiles and total variation. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
102. Sina Montazeri, Christoph Gisinger, Xiao Xiang Zhu, Michael Eineder, Richard Bamler (2017). Automatic Positioning of SAR Ground Control Points From Multi-aspect TerraSAR-X Acquisitions. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
103. Stefan Auer, Michael Schmitt, Peter Reinartz (2017). Automatic Alignment of High Resolution Optical and SAR Images for Urban Areas. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017.
104. Yao Sun, Muhammad Shahzad, Xiao Xiang Zhu (2017). Building Height Estimation in Single SAR Image Using OSM Building Footprints. In Joint Urban Remote Sensing Event (JURSE).
105. Yuanyuan Wang, Xiao Xiang Zhu (2017). Earth Observation Using SAR and Social Media Images. In 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
106. Yuanyuan Wang, Xiao Xiang Zhu (2017). Robust blind scatterer separation in multibaseline InSAR. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017, Fort Worth, USA. (link)
107. Benjamin Fürsich, Richard Bamler, Sven Augustin, Heinz-Wilhelm Hübers, Xiao Xiang Zhu (2016). Towards Single-pixel FMCW Radar Reconstruction. In 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).
108. Danfeng Hong, Naoto Yokoya, Xiao Xiang Zhu (2016). Local Manifold Learning With Robust Neighbors Selection for Hyperspectral Dimensionality Reduction. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016.
109. Danfeng Hong, Naoto Yokoya, Xiao Xiang Zhu (2016). The K-LLE Algorithm for Nonlinear Dimensionality Reduction of Large-scale Hyperspectral Data. In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
110. Gerald Baier, Xiao Xiang Zhu, Marie Lachaise, Helko Breit, Richard Bamler (2016). Nonlocal InSAR Filtering for DEM Generation and Addressing the Staircasing Effect. In Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar.
111. Jing Hu, Andreas Schmitt, Xiao Xiang Zhu (2016). Dual-Channel PolSAR Speckle Reduction Using Non-Local Means Filter. In European Conference on Synthetic Aperture Radar.
112. Jonathan Cheung-Wai Chan, Naoto Yokoya (2016). Mapping Land Covers of Brussels Capital Region Using Spatially Enhanced Hyperspectral Images. In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
113. Lichao Mou, Xiao Xiang Zhu (2016). Spatiotemporal Scene Interpretation of Space Videos Via Deep Neural Network and Tracklet Analysis. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
114. Naoto Yokoya, Pedram Ghamisi (2016). Land-cover Monitoring Using Time-series Hyperspectral Data via Fractional-order Darwinian Particle Swarm Optimization Segmentation. In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
115. Naoto Yokoya, Xiao Xiang Zhu, Antonio Plaza (2016). Graph-regularized Coupled Spectral Unmixing for Multisensor Time-series Analysis. In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
116. Pedram Ghamisi, Roberto Souza, Jon A Benediktsson, Xiao Xiang Zhu, Leticia Rittner, Roberto Lotufo (2016). Extended Extinction Profile for the Classification of Hyperspectral Images. In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
117. Xiangyin Quan, Bingchen Zhang, Xiao Xiang Zhu, Wen Hong, Yirong Wu (2016). DPCA Imaging from Nonuniform Sampling: an Lq Regularization Based Approach. In European Conference on Synthetic Aperture Radar.
118. Claas Grohnfeldt, Tristan Michael Burns, Xiao Xiang Zhu (2015). Dynamic Dictionary Learning Strategies for Sparse Representation Based Hyperspectral Image Enhancement. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
119. Claas Grohnfeldt, Xiao Xiang Zhu, Richard Bamler (2015). Splitting the Hyperspectral-multispectral Image Fusion Problem Autonomously Into Weighted Pan-sharpening Tasks—The Spectral Grouping Concept. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
120. Jakub Bieniarz, Daniele Cerra, Xiao Xiang Zhu, Rupert Müller, Peter Reinartz (2015). Hyperspectral Resolution Enhancement Using Multisensor Image Data. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
121. Jakub Bieniarz, Daniele Cerra, Xiao Xiang Zhu, Rupert Müller, Peter Reinartz (2015). Hyperspectral Resolution Enhancement – Application To Real Image Pair. In Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
122. Michael Schmitt (2015). Three-dimensional Reconstruction of Urban Areas by Multi-aspect TomoSAR Data Fusion. In Joint Urban Remote Sensing Event.
123. Muhammad Shahzad, Xiao Xiang Zhu (2015). Detection of Buildings in Spaceborne Tomosar Point Clouds via Hybrid Region Growing and Energy Minimization Technique. In 2015 Joint Urban Remote Sensing Event (JURSE).
124. Muhammad Shahzad, Xiao Xiang Zhu (2015). Reconstruction of Building Footprints Using Spaceborne Tomosar Point Clouds. In Proceedings of CMRT15-City Models, Roads and Traffic 2015.
125. Nan Ge, Xiao Xiang Zhu (2015). Sparse Reconstruction Automaton for Synthetic Aperture Radar Tomography. In 2015 European Radar Conference (EuRAD).
126. Naoto Yokoya, Xiao Xiang Zhu (2015). Graph Regularized Coupled Spectral Unmixing for Change Detection. In 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
127. Xiao Xiang Zhu, Nan Ge, Muhammad Shahzad (2015). Exploiting Group Sparsity in SAR Tomography. In 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).
128. Xiao Xiang Zhu, Nan Ge, Muhammad Shahzad (2015). Group Sparsity in SAR Tomography-experiments on TanDEM-X Data Stacks. In 2015 16th International Radar Symposium (IRS).
129. Yuanyuan Wang, Xiao Xiang Zhu (2015). The Robust InSAR Optimization Framework with Application to Monitoring Cities on Volcanoes. In Joint Urban Remote Sensing Event (JURSE) 2015, Lausanne, Switzerland. (link)
130. Xiao Xiang Zhu, Yuanyuan Wang, Muhammad Shahzad, Richard Bamler (2014). Spaceborne TomoSAR and Beyond: From SAR Image Stacks to Objects. In 10th European Conference on Synthetic Aperture Radar 2014.
131. Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2014). Robust Covariance Matrix Estimation with Application to Volcano Monitoring using SAR Image Stacks. In 10th European Conference on Synthetic Aperture Radar 2014.
132. Claas Grohnfeldt, Xiao Xiang Zhu, Richard Bamler (2014). The J-SparseFI-HM Hyperspectral Resolution Enhancement Method—Now Fully Automated. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
133. Jakub Bieniarz, Esteban Aguilera, Xiao Xiang Zhu, Rupert Müller, Uta Heiden, Peter Reinartz (2014). Spectral-spatial Joint Sparsity Unmixing of Hyperspectral Data Using Overcomplete Dictionaries. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
134. Rui Guo, Xiao Xiang Zhu (2014). High-rise Building Feature Extraction Using High Resolution Spotlight TanDEM-X Data. In EUSAR 2014; 10th European Conference on Synthetic Aperture Radar.
135. Xiao Xiang Zhu, Richard Bamler, Marie Lachaise, Fathalrahman Adam, Yilei Shi, Michael Eineder (2014). Improving TanDEM-X DEMs by Non-local InSAR Filtering. In EUSAR 2014; 10th European Conference on Synthetic Aperture Radar.
136. Xiao Xiang Zhu, Xiao-Ming Li, Rui Guo (2014). Compressive Sensing for Super-resolving SAR Imaging to Support Target Detection in Coastal Zone. In EUSAR 2014; 10th European Conference on Synthetic Aperture Radar.
137. Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler, Stefan Gernhardt (2013). Towards TerraSAR-X Street View: Creating City Point Cloud from Multi-Aspect Data Stacks. In Joint Urban Remote Sensing Event 2013.
138. Jakub Bieniarz, Xiao Xiang Zhu, Rupert Müller, Peter Reinartz (2013). Sparse Spectral Unmixing With Endmember Groups Pre-selection. In 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
139. Muhammad Shahzad, Xiao Xiang Zhu (2013). Building Facades Reconstruction Using Multi-view Tomosar Point Clouds. In Joint Urban Remote Sensing Event 2013.
140. Xiao Xiang Zhu, Claas Grohnfeldt, Richard Bamler (2013). Collabrative Sparse Image Fusion with Application to Pan-sharpening. In 2013 18th International Conference on Digital Signal Processing (DSP).
141. Xiao Xiang Zhu, Richard Bamler (2013). Sparse Reconstruction Techniques in Tomographic SAR Inversion. In 21st European Signal Processing Conference (EUSIPCO 2013).
142. Xiao Xiang Zhu, Yuanyuan Wang, Stefan Gernhardt, Richard Bamler (2013). Tomo-GENESIS: DLR's Tomographic SAR Processing System. In Joint Urban Remote Sensing Event 2013.
143. Xiao Xiang Zhu, Yuanyuan Wang, Richard Bamler (2012). Integration of Tomographic SAR Inversion and PSI for Operational Use. In 9th European Conference on Synthetic Aperture Radar, 2012.
144. Jakub Bieniarz, Rupert Müller, Xiao Xiang Zhu, Peter Reinartz (2012). On the Use of Overcomplete Dictionaries for Spectral Unmixing. In 2012 4th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
145. Xiao Xiang Zhu, Muhammad Shahzad, Richard Bamler (2012). From TomoSAR Point Clouds to Objects: Facade Reconstruction. In 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).
146. Xiao Xiang Zhu, Richard Bamler (2012). Super-resolution of Sparse Reconstruction for Tomographic SAR Imaging-demonstration With Real Data. In EUSAR 2012; 9th European Conference on Synthetic Aperture Radar.
147. Xiao Xiang Zhu, Sofya Spiridonova, Richard Bamler (2012). A Pan-sharpening Algorithm Based on Joint Sparsity. In 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).
148. Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2011). Advanced Coherence Stacking Technique Using High Resolution TerraSAR-X Spotlight Data. In Joint Urban Remote Sensing Event 2011.
149. Gianfranco Fornaro, Antonio Pauciullo, Diego Reale, Xiao Xiang Zhu, Richard Bamler (2011). Peculiarities of Urban Area Analysis With Very High Resolution Interferometric SAR Data. In 2011 Joint Urban Remote Sensing Event.
150. Gianfranco Fornaro, Diego Reale, Antonio Pauciullo, Xiao Xiang Zhu, Richard Bamler, Francesco Soldovieri (2011). Monitoring of Individual Ground Structures with Very High-Resolution Satellite Synthetic Aperture Radar: Results with the TerraSAR-X System. In European Geosciences Union General Assembly 2011.
151. Xiao Xiang Zhu, Richard Bamler (2011). A Fundamental Bound for Super-resolution - With Application to 3D SAR Imaging. In 2011 Joint Urban Remote Sensing Event.
152. Xiao Xiang Zhu, Richard Bamler (2011). Sparse Reconstrcution Techniques for SAR Tomography. In 2011 17th International Conference on Digital Signal Processing (DSP).
153. Xiao Xiang Zhu, Richard Bamler (2010). Super-resolution for 4-D SAR Tomography via Compressive Sensing. In 8th European Conference on Synthetic Aperture Radar.
154. Nico Adam, Xiao Xiang Zhu, Richard Bamler (2009). Coherent Stacking with TerraSAR-X Imagery in Urban Areas. In 2009 Joint Urban Remote Sensing Event.
155. Stefan Auer, Xiao Xiang Zhu, Stefan Hinz, Richard Bamler (2009). Ray Tracing and SAR-tomography for 3D Analysis of Microwave Scattering at Man-made ObjectsInternational Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38(Part 3), pp. W4.
156. Xiao Xiang Zhu, Nico Adam, Ramon Brcic, Richard Bamler (2009). Space-borne High Resolution SAR Tomography: Experiments in Urban Environment Using TS-X Data. In 2009 Joint Urban Remote Sensing Event.

Other Conference Papers

1. Sven Prüfer, Antonius Scherer, Andreas Spörl, Tobias Guggemos, Nikolas Pomplun, Christoph Lenzen (2021). Quantum Shift Scheduling - A Comparison to Classical Approaches. In 12th International Workshop on Planning and Scheduling for Space (IWPSS). (link)
2. Anna Kruspe, Matthias Häberle, Eike Jens Hoffmann, Samyo Rode-Hasinger, Karam Abdulahhad, Xiao Xiang Zhu (2021). Changes in Twitter geolocations: Insights and suggestions for future usage. In Workshop on Noisy User-generated Text (W-NUT), Empirical Methods in Natural Language Processing (EMNLP).
3. Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu (2021). Lessons from the Clustering Analysis of a Search Space: A Centroid-based Approach to Initializing NAS. In Workshop on Data Science meets Optimization, International Joint Conferences on Artificial Intelligence IJCAI.
4. Nouman Ahmed, Sudipan Saha, Maaz Mohsin, Muhammad Shahzad, Xiao Xiang Zhu (2021). Progressive Unsupervised Deep Transfer Learning for Forest Mapping in Satellite Image. In ICCV 2021 workshop on Learning to Understand Aerial Images (LUAI).
5. Sudipan Saha, Lichao Mou, Muhammad Shahzad, Xiao Xiang Zhu (2021). Segmentation of VHR EO Images Using Unsupervised Learning. In ECML PKDD 2021 workshop Machine Learning for Earth Observation (MACLEAN).
6. Levente Klein, Wang Zhou, Conrad Albrecht (2021). Quantification of Carbon Sequestration in Urban ForestsTackling Climate Change with Machine Learning Workshop at ICML 2021 (pdf)
7. Lukas Kondmann, Xiao Xiang Zhu (2021). Under the Radar–Auditing Fairness in ML for Humanitarian Mapping. In 2nd Data-driven Humanitarian Mapping Workshop at KDD.
8. Qian Song, Feng Xu, Xiao Xiang Zhu (2021). Physical-aware Radar Image Synthesis with Projective Network. In 34th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2021.
9. Andrés Camero, Jamal Toutouh, Hao Wang, Enrique Alba, Thomas Bäck (2021). Neural architecture search using a training-free performance metric. In 2nd AutoAI Workshop, Trustworthy AI - Integrating Learning, Optimisation and Reasoning (TAILOR). (pdf)
10. Jakob Gawlikowski, Sudipan Saha, Anna Kruspe, Xiao Xiang Zhu (2021). Out-of-distribution Detection in Satellite Image Classification. In RobustML Workshop, ICLR 2021. (link)
11. Jay Nandy, Sudipan Saha, Wynne Hsu, Mong Li Lee, Xiao Xiang Zhu (2021). Covariate Shift Adaptation for Adversarially Robust Classifier. In Workshop on Security and Safety in Machine Learning Systems, ICLR 2021.
12. Konstantin Klemmer, Sudipan Saha, Matthias Kahl, Tianlin Xu, Xiao Xiang Zhu (2021). Generative Modeling of Spatio-temporal Weather Patterns With Extreme Event Conditioning. In AI: Modeling Oceans and Climate Change (AIMOCC 2021) Workshop, ICLR 2021. (link)
13. Sina Montazeri, Homa Ansari, Francesco De Zan, René Mania, Robert Shau, Teo Beker, Alessandro Parizzi, Mahmud Haghshenas Haghighi, Peter Niemz, Simone Cesca, others (2021). TecVolSA: InSAR and Machine Learning for Surface Displacement Monitoring in South America. In EGU General Assembly Conference Abstracts.
14. Mrinalini Kochupillai (2021). Creating a Digital Marketplace for Agrobiodiversity and Plant Genetic Sequence Data: Legal and Ethical Considerations of an AI and Blockchain Based Solution. In Towards Responsible Plant Data Linkage: Global Challenges for Food Security and Governance, Alan Turing Instutute and University of Exceter.
15. Lukas Kondmann, Matthias Haeberle, Xiao Xiang Zhu (2020). Combining Twitter and Earth Observation Data for Local Poverty Mapping. In NeuRIPS Machine Learning for the Developing World Workshop.
16. Anna Kruspe, Matthias Häberle, Iona Kuhn, Xiao Xiang Zhu (2020). Cross-language Sentiment Analysis of European Twitter Messages During the COVID-19 Pandemic. In Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020. (link)
17. Jianzhe Lin, Lichao Mou, Tianze Yu, Xiao Xiang Zhu, Z. Jane Wang (2020). Dual Adversarial Network for Unsupervised Ground/Satellite-to-Aerial Scene Adaptation. In ACM International Conference on Multimedia.
18. Lukas Kondmann, Xiao Xiang Zhu (2020). Measuring Changes in Poverty with Deep Learning and Satellite Images. In 1st Practical ML for Developing Countries Workshop at ICLR.
19. Danfeng Hong, Xiao Xiang Zhu (2019). Learning to Align Multi-modal Remotely Sensed Data with a Joint Graph Structure. In ESA Living Planet Symposium.
20. Eike Jens Hoffmann, Martin Werner, Xiao Xiang Zhu (2019). Quality Assessment of Semantic Tags in OpenStreetMap. In 11th International Symposium on Digital Earth.
21. Xiao Xiang Zhu, Chunping Qiu, Jingliang Hu, Yilei Shi, Lichao Mou, Michael Schmitt, Yuanyuan Wang (2019). Deep Learning for Global Local Climate Zones Classification. In ESA Living Planet Symposium.
22. Yuxing Xie, Jing Yao, Xiao Xiang Zhu, Peter Reinartz (2019). Deep Learning-based Point Cloud Classification on Multiple Airborne LiDAR Dataset. In International Workshop Point Cloud Processing.
23. Yuanyuan Wang, Jian Kang, Xiao Xiang Zhu (2018). Fusing Spaceborne SAR Interferometry and Street View Images for 4D Urban Modeling. In 21st International Conference on Information Fusion 2018.
24. Chunping Qiu, Michael Schmitt, Lichao Mou, Xiao Xiang Zhu (2018). Urban Local Climate Zone Classification with a Residual Convolutional Neural Network and Multi-Seasonal Sentinel-2 Images. In 10th IAPR Workshop on Pattern Recognition in Remote Sensing.
25. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2018). Exploring the Applicability of Semi-global Matching for SAR-optical Stereogrammetry of Urban Scenes. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
26. Jingliang Hu, Danfeng Hong, Xiao Xiang Zhu (2018). MAPPER Regularized Semi-supervised Manifold Alignment for the Fusion of Simulated EnMAP Image and Sentinel-1 Dual-Pol Data. In 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
27. Michael Schmitt, Lloyd Haydn Hughes, Marco Körner, Xiao Xiang Zhu (2018). Colorizing Sentinel-1 SAR images using a variational autoencoder conditioned on Sentinel-2 imagery. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
28. Stefan Auer, Michael Schmitt, Peter Reinartz (2018). Object-related Alignment of High-Resolution Optical and SAR Images. In 21st International Conference on Information Fusion.
29. Xiao Xiang Zhu (2018). AI4EO – Successful Stories and Open Issues. In ESA Phi Week.
30. Xiao Xiang Zhu (2018). Data Science in Earth Observation. In ESA Phi Week.
31. Hossein Bagheri, Michael Schmitt, Xiao Xiang Zhu (2017). Uncertainty Assessment and Weight Map Generation for Efficient Fusion of TanDEM-X and Cartosat-1 DEMs. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
32. Michael Eineder, Christoph Gisinger, Ulrich Balss, Xiao Ying Cong, Sina Montazeri, Stefan Hackel, Fernando Rodriguez Gonzalez, Hartmut Runge (2017). SAR Imaging Geodesy – Recent Results for TerraSAR-X and for Sentinel-1. In FRINGE 2017.
33. Sina Montazeri, Xiao Xiang Zhu, Christoph Gisinger, Fernando Rodriguez Gonzalez, Michael Eineder, Richard Bamler (2017). Towards Absolute Positioning of InSAR Point Clouds. In FRINGE 2017.
34. Sina Montazeri, Xiao Xiang Zhu, Christoph Gisinger, Michael Eineder, Richard Bamler (2017). Towards the Integration of Automatically Generated SAR Ground Control Points into InSAR Stacking Techniques. In Fringe workshop.
35. Yuanyuan Wang, Xiao Xiang Zhu, Sina Montazeri, Jian Kang, Lichao Mou, Michael Schmitt (2017). Potential of the “SARptical” System. In FRINGE 2017, Helsinki, Finland. (link)
36. Christoph Gisinger, Sina Montazeri, Ulrich Balss, Xiao Ying Cong, Stefan Hackel, Xiao Xiang Zhu, Roland Pail, Michael Eineder (2016). Applying Geodetic SAR with TerraSAR-X and TanDEM-X. In TerraSAR-X/TanDEM-X Science Team Meeting 2016.
37. Gerald Baier, Xiao Xiang Zhu (2016). GPU-based Nonlocal Filtering for Large Scale SAR Processing. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016.
38. Hui Bi, Bingchen Zhang, Xiao Xiang Zhu, Wen Hong, Yirong Wu (2016). CFAR Detection for the Complex Approximated Message Passing Reconstructed SAR Image. In International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).
39. Jian Kang, Yuanyuan Wang, Marco Köner, Xiao Xiang Zhu (2016). Object-based InSAR Deformation Reconstruction with Application to Bridge Monitoring. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016, Beijing, China.
40. Jingliang Hu, Pedram Ghamisi, Andreas Schmitt, Xiao Xiang Zhu (2016). Object Based Fusion of Polarimetric SAR and Hyperspectral Imaging for Land Use Classification. In 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
41. Marion Heublein, Stefan Hinz, Xiao Xiang Zhu (2016). Compressive Sensing for Tomographic Reconstruction of Wet Refractivity Using GNSS and InSAR Observations. In ESA Living Planet Symposium.
42. Michael Schmitt, Muhammad Shahzad, Xiao Xiang Zhu (2016). Forest Remote Sensing on the Individual Tree Level by Airborne Millimeter Wave SAR. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016.
43. Michael Schmitt, Xiao Xiang Zhu (2016). On the Challenges in Stereogrammetric Fusion of SAR and Optical Imagery for Urban Areas. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
44. Sina Montazeri, Xiao Xiang Zhu, Ulrich Balss, Christoph Gisinger, Yuanyuan Wang, Michael Eineder, Richard Bamler (2016). SAR Ground Control Point Identification with the Aid of High Resolution Optical Data. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016.
45. Yuanyuan Wang, Xiao Xiang Zhu (2016). Robust Multibaseline InSAR Optimization. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016.
46. Yuanyuan Wang, Xiao Xiang Zhu (2015). Semantic Interpretation of InSAR Point Cloud. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, Milan, Italy. (link)
47. Claas Grohnfeldt, Xiao Xiang Zhu (2015). Towards a Combined Sparse Representation and Unmixing Based Hybrid Hyperspectral Resolution Enhancement Method. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
48. Gerald Baier, Xiao Xiang Zhu (2015). Region Growing Based Nonlocal Filtering for InSAR. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
49. Jakub Bieniarz, Rupert Müller, Xiao Xiang Zhu, Peter Reinartz (2015). Sparse Pixel-wise Spectral Unmixing—Which Algorithm to Use and How to Improve the Results. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
50. Marion Heublein, Xiao Xiang Zhu, Fadwa Alshawaf, Michael Mayer, Richard Bamler, Stefan Hinz (2015). Compressive Sensing for Neutrospheric Water Vapor Tomography Using GNSS and InSAR Observations. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
51. Michael Schmitt, Lingyun Wei, Xiao Xiang Zhu (2015). Automatic Coastline Detection in Non-locally Filtered TanDEM-X Data. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
52. Muhammad Shahzad, Michael Schmitt, Xiao Xiang Zhu (2015). Segmentation and Crown Parameter Extraction of Individual Trees in an Airborne TomoSAR Point Cloud. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
53. Nan Ge, Xiao Xiang Zhu (2015). SAR Tomography Using Staring and High-resolution Spotlight Data From the TanDEM-X Pursuit Monostatic Mode. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
54. Sina Montazeri, Xiao Xiang Zhu, Michael Eineder, Ramon Hanssen, Richard Bamler (2015). Deformation Monitoring of Urban Infrastructure by Tomographic SAR Using Multi-view TerraSAR-X Data Stacks. In FRINGE 2015.
55. Xiao Xiang Zhu, Richard Bamler (2015). Exploiting Sparsity in Remote Sensing and Earth Observation: Theory, Applications and Future Trends. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.
56. Yuanyuan Wang, Xiao Xiang Zhu (2015). InSAR Forensics: Tracing InSAR Scatterers in High Resolution Optical Image. In FRINGE 2015.
57. Yuanyuan Wang, Xiao Xiang Zhu (2015). Semantic Interpretation of InSAR Estimates Using Optical Images with Application to Urban Infrastructure Monitoring. In ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, La Grande Motte, France.
58. Claas Grohnfeldt, Xiao Xiang Zhu, Richard Bamler (2014). Performance Assessment of the State-of-the-art Hyperspectra Image Enhancement Methods. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014.
59. Jakub Bieniarz, Rupert Müller, Xiao Xiang Zhu, Peter Reinartz (2014). Hyperspectral image resolution enhancement based on joint sparsity spectral unmixing. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014.
60. Muhammad Shahzad, Xiao Xiang Zhu (2014). Automatic Large Area Reconstruction of Building Facades From Spaceborne TomoSAR Point Clouds. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014.
61. Muhammad Shahzad, Xiao Xiang Zhu (2014). Reconstructing 2-D/3-D Building Shapes From Spaceborne Tomographic SAR Point Clouds. In 3rd ISPRS Commission Symposium on Photogrammetric Computer Vision.
62. Xiao Xiang Zhu, Marie Lachaise, Fathalrahman Adam, Yilei Shi, Michael Eineder, Richard Bamler (2014). Beyond the 12m TanDEM-X DEM. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014.
63. Xiao Xiang Zhu, Richard Bamler (2014). Exploiting Sparsity in Remote Sensing for Earth Observation. In SIAM conference on Image Science (IS14).
64. Xiao Xiang Zhu, Sina Montazeri, Christoph Gisinger, Ramon Hanssen, Richard Bamler (2014). Geodetic TomoSAR - Fusion of SAR Imaging Geodesy and TomoSAR for 3D Absolute Scatterer Positioning. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014.
65. Xiao Xiang Zhu, Richard Bamler, Yuanyuan Wang, Muhammad Shahzad (2013). Tomographic Urban Imaging Using TerraSAR-X High Resolution Spotlight Data Stacks. In ESA Living Planet Symposium 2013, Edinburgh, United Kingdom. (link)
66. Yuanyuan Wang, Xiao Xiang Zhu (2013). Feature-Based Fusion of TomoSAR Point Clouds from Multiview TerraSAR-X Data Stacks. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2013.
67. Claas Grohnfeldt, Xiao Xiang Zhu, Richard Bamler (2013). Jointly Sparse Fusion of Hyperspectral and Multispectral Imagery. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2013.
68. Jakub Bieniarz, Esteban Aguilera, Rupert Müller, X Zhu, Peter Reinartz (2013). Application of Distributed Compressive Sensing in Hyperspectral Image Unmixing. In Proceedings of the 8th EARSeL Imaging Spectrometry Workshop, Nantes, France.
69. L Ding, Xiao Xiang Zhu, L Meng (2013). Scientific Visualization for 4-D Building Deformation Data Analysis. In Proceedings of the 26th International Cartographic Conference, Dresden, Germany.
70. Muhammad Shahzad, Xiao Xiang Zhu (2013). Reconstruction of Building Facades Using Spaceborne Multiview TomoSAR Point Clouds. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2013.
71. Xiao Xiang Zhu (2013). Exploiting Sparsity in Remote Sensing for Earth Observation. In International Conference Signal Processing, Optimization and Compressed Sensing (SPOC) 2013.
72. Xiao Xiang Zhu, Claas Grohnfeldt, Richard Bamler (2013). Collaborative Sparse Reconstruction for Pan-sharpening. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2013.
73. Xiao Xiang Zhu, Marie Lachaise, Fathalrahman Adam, Richard Bamler (2013). Towards 6 m TanDEM-X DEM: Non-local Methods for InSAR Filtering. In 4th TanDEM-X Scientific Meeting Final Program and Abstracts.
74. Xiao Xiang Zhu, Muhammad Shahzad, Yuanyuan Wang, Richard Bamler (2013). Tomographic Urban Mapping and Object Reconstruction Using TerraSAR-X Spotlight Data Stacks. In 5th TerraSAR-X Scientific Meeting, Oberpfaffenhofen, Germany. (link)
75. Yuanyuan Wang, Xiao Xiang Zhu, Yilei Shi, Richard Bamler (2012). Operational TomoSAR Processing Using TerraSAR-X High Resolution Spotlight Stacks From Multiple View Angles. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2012. (link)
76. Cristian Rossi, Thomas Fritz, Michael Eineder, Esra Erten, Xiao Xiang Zhu, Stefan Gernhardt (2012). Towards an Urban DEM Generation With Satellite SAR InterferometryInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXiX International Society for Photogrammetry and Remote Sensing Congress, 39(B7), pp. 73–78.
77. Jakub Bieniarz, Rupert Müller, Xiao Xiang Zhu, Peter Reinartz (2012). Sparse Approximation, Coherence and Use of Derivatives in Hyperspectral Unmixing. In Third Annual Hyperspectral Imaging Conference.
78. Muhammad Shahzad, Xiao Xiang Zhu, Richard Bamler (2012). Facade Structure Reconstruction Using Spaceborne TomoSAR Point Clouds. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2012.
79. Xiao Xiang Zhu, Richard Bamler (2012). Sparse Reconstruction Applied to Tomographic SAR Inversion. In SIAM Conference on Image Science (IS12).
80. Xiao Xiang Zhu, Richard Bamler (2012). Sparse Tomographic SAR Reconstruction From Mixed TerraSAR-X/TanDEM-X Data Stacks. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2012.
81. Xiao Xiang Zhu, Richard Bamler (2012). Tomographic SAR Inversion from Mixed Repeat-and- Single-pass Data Stacks – The TerraSAR-X/Tandem-X CaseInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXII International Society for Photogrammetry and Remote Sensing Congress, 39(B7).
82. Yuanyuan Wang, Xiao Xiang Zhu, Richard Bamler (2011). Optimal Estimation of Distributed Scatterer Phase History Parameters from Meter-resolution SAR Data. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2011.
83. Richard Bamler, Xiao Xiang Zhu (2011). A Bound for Super-Resolution Power of Compressive Sensing Imaging Systems. In SIAM conference on optimization.
84. Xiao Xiang Zhu, Richard Bamler (2011). 3-D and 4-D Tomographic Urban Mapping using TerraSAR-X Spotlight Data. In 4th TerraSAR-X Scientific Meeting.
85. Xiao Xiang Zhu, Richard Bamler (2011). Multi-component Nonlinear Motion Estimation in Differential SAR Tomography - The Time-warp Method. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2011.
86. Xiao Xiang Zhu, Richard Bamler (2011). The SL 1MMER Algorithm for Spectral Estimation —with Application to Tomographic SAR InversionSIAM conference on optimization 2011
87. Xiao Xiang Zhu, Richard Bamler (2011). Tomographic SAR Inversion Via Sparse Reconstruction. In Signal Processing with Adaptive Sparse Structured Representations SPARS 11.
88. Xiao Xiang Zhu, Richard Bamler (2011). Within the Resolution Cell: Super-resolution in Tomographic SAR Imaging. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2011.
89. Xiao Xiang Zhu, Xuan Wang, Richard Bamler (2011). Compressive Sensing for Image Fusion - With Application to Pan-sharpening. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2011.
90. Xuan Wang, Xiao Xiang Zhu, Richard Bamler, Aliaksei Makarau (2011). Compressive Sensing for PAN-Sharpening. In International Symposium on Image and Data Fusion (ISIDF), IEEE Xplore, Tengchong, China.
91. Diego Reale, Gianfranco Fornaro, Antonio Pauciullo, Xiao Xiang Zhu, Nico Adam, Richard Bamler (2010). Advanced Techniques and New High Resolution SAR Sensors for Monitoring Urban Areas. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2010.
92. Xiao Xiang Zhu, Richard Bamler (2010). Compressive Sensing for High Resolution Differential SAR Tomography - The SL1MMER Algorithm. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2010.
93. Xiao Xiang Zhu, Richard Bamler (2010). Space-Time Tomographic Infrastructure Reconstruction via Compressive Sensing Using TerraSAR-X High Resolution Spotlight Data. In Proceedings of International Workshop Spatial Information Technologies for Monitoring the Deformation of Large-Scale Man-made Linear Features.
94. Nico Adam, Xiao Xiang Zhu, Christian Minet, Werner Liebhart, Michael Eineder, Richard Bamler (2009). Techniques and Examples for the 3D Reconstruction of Complex Scattering Situations Using TerraSAR-X. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2009.
95. Stefan Auer, Xiao Xiang Zhu, Stefan Hinz, Richard Bamler (2009). 3D Analysis of Scattering Effects Based on Ray Tracing Techniques. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2009.
96. Xiao Xiang Zhu, Nico Adam, Richard Bamler (2009). First Demonstration of Space-borne High Resolution SAR Tomography in Urban Environment Using TerraSAR-X Data. In CEOS SAR Workshop on Calibration and Validation 2008.
97. Xiao Xiang Zhu, Nico Adam, Richard Bamler (2009). Space-borne High Resolution Tomographic Interferometry. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2009.
98. Xiao Xiang Zhu, Richard Bamler (2009). Very High Resolution SAR Tomography via Compressive Sensing. In FRINGE 2009.

Thesis and Patents

1. Nan Ge (2020). Sparse Recovery in Spaceborne SAR Tomography. Doctoral Thesis. Technical University of Munich. (link)
2. Lloyd H Hughes (2020). Deep Learning for Matching High-Resolution SAR and Optical Imagery. Doctoral Thesis. Technical University of Munich. (link)
3. Chunping Qiu (2020). Deep Learning for Multi-Scale Mapping of Urban Land Cover from Space. Doctoral Thesis. Technical University of Munich. (link)
4. Sina Montazeri (2019). Geodetic Synthetic Aperture Radar Interferometry. Doctoral Thesis. Technical University of Munich. (link)
5. Michael Schmitt (2019). Data Fusion for SAR and Optical Remote Sensing. Habilitation. Technical University of Munich.
6. Jian Kang (2019). Object-based Multibaseline SAR Interferometry. Doctoral Thesis. Technical University of Munich. (link)
7. Danfeng Hong (2019). Regression-Induced Representation Learning and Its Optimizer: A Novel Paradigm to Revisit Hyperspectral Imagery Analysis. Doctoral Thesis. Technical University of Munich. (link)
8. Gerald Baier (2018). Nonlocal Filtering for Single- and Multibaseline SAR Interferometry. Doctoral Thesis. Technical University of Munich. (pdf)
9. Claas Hendrik Grohnfeldt (2017). Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations. Doctoral Thesis. Technical University of Munich. (link)
10. Muhammad Shahzad (2016). From TomoSAR Point Cloud to Objects. Doctoral Thesis. Technical University of Munich. (link)
11. Yuanyuan Wang (2015). Advances in Meter-resolution Multipass Synthetic Aperture Radar Interferometry. Doctoral Thesis. Technical University of Munich. (link)
12. Xiao Xiang Zhu (2013). Modern Signal Processing in Remote Sensing. Habilitation. Technical University of Munich.
13. Xiao Xiang Zhu, Richard Bamler, Xuan Wang (2012). Verfahren zur Rechnergestuetzten Verarbeitung Digitalisierter Bilder (Compressive Sensing for Image Pan Sharpening).
14. Xiao Xiang Zhu (2011). Very High Resolution Tomographic SAR Inversion for Urban Infrastructure Monitoring - A Sparse and Nonlinear Tour, Deutsche Geodätische Kommission, 2011. (pdf)