Call for Papers: JSTARS Special Issue
You are welcomed to submit your relevant research outcome to the JSTARS special issue on “Recent Advances in Processing of High-Spatial-Resolution Remote Sensing Data” whose guest editors are Xin Huang, Xiaoxiang Zhu, Fabio Dell’Acqua, Mauro Dalla Mura, Mathieu…
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Deep Recurrent Neural Networks for Hyperspectral Image Classification
Our research paper "Deep Recurrent Neural Networks for Hyperspectral Image Classification" is the monthly most popular article of IEEE Transactions on Geoscience and Remote Sensing in July, August, and September 2017. Link to the…
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Deep Learning in Remote Sensing: A Review
Standing at the paradigm shift towards data-intensive science, as a major breakthrough in the field of machine learning, deep learning has proven as an extremely powerful tool in many fields. Shall we embrace deep learning as the key to all? Or, should we…
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Claas Grohnfeldt defended his doctoral thesis
SiPEO member Claas Grohnfeldt defended his doctoral thesis on "Multi-sensor Data Fusion for Multi- and Hyperspectral Resolution Enhancement Based on Sparse Representations" on 12.09.2017. From left to right in the following photo are the chair of…
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So2Sat Kickoff Meeting
01.09.2017
The Kick-off meeting of So2Sat was successfully held in Earth Observation Center of German Aerospace Center (DLR). In total more than 30 participants, including cooperation partners from Institute of Remote Sensing Technology, DLR, German Remote Sensing Data…
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Modelling A City's Minuscule Changes
GCS NewsFlash 16/2017
Researchers at the Technical University of Munich are using satellite imagery and supercomputing to predict city buildings’ risks for structural degradation and damage.
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Xiaoxiang Zhu, Sina Montazeri together with coauthors Christoph Gisinger, R.F. Hanssen, and Richard Bamler won the 2017 Best Paper Award of IEEE Transactions on Geoscience and Remote Sensing, with their innovative publicaiton "Geodetic SAR Tomography" in IEEE TGRS. The following photo is Sina…
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