Picture of Yu Feng

Dr.-Ing. Yu Feng

Postal address

Arcisstr. 21
80333 München


  • Image Analysis for Mapping (winter - Cartography M.Sc.)
  • Geodetic Seminar (winter - Geodesy and Geoinformation M.Sc.)
  • Seminar Cartography (winter - Geodesy and Geoinformation M.Sc.)
  • Spatial Data Integration (summer - Geodesy and Geoinformation M.Sc.)
  • Supervision of master thesis

Research Interest

  • Geospatial artificial intelligence (GeoAI) and question answering
  • Volunteered Geographic Information (VGI) - social media for disaster monitoring
  • Cartographic Generalization with deep learning methods
  • Mobile Laser Scanning (MLS) data processing and modelling

External grants

  • NFDI4Earth Incubator Projects

Prompt accessed GeoQAmap for Earth Data, DFG funded NFDI4Earth. (PI, 2023-2024, ongoing)

  • ISPRS scientific initiatives

BeBaOI: Benchmark and Baseline Methods for Determining Overlapping Images, International Society for Photogrammetry and Remote Sensing (ISPRS), (2nd co-PI with Xin Wang, Wuhan University, 2023-2024, ongoing).

  • TUM Global Incentive Fund

Knowledge discovery and visual analysis for urban mobility data in Munich and Helsinki, TUM lobal & Alumni Office, (2nd co-PI with Liqiu Meng, 2023-2024, finished).

  • NFDI4Earth Educational Pilots

An open-access and interactive coding platform to facilitate e-learning in Geospatial Data Analysis (Coding4Geo), DFG funded NFDI4Earth. (PI, 2022-2023, finished)

Selected publications

Full publication list please refer to Google scholar.
  1. Yu Feng*, Xiao Huang & Monika Sester. Extraction and analysis of natural disaster-related VGI from social media: review, opportunities and challenges. International Journal of Geographical Information Science, 2022.
  2. Yu Feng*, Qing Xiao, Claus Brenner, Aaron Peche, Juntao Yang, Udo Feuerhake & Monika Sester. Deter mination of building flood risk maps from lidar mobile mapping data. Computers, Environment and Urban Systems, 2022.
  3. Yu Feng*, Claus Brenner & Monika Sester. Flood severity mapping from volunteered geographic information by interpreting water level from images containing people: A case study of Hurricane Harvey. ISPRS Journal of Photogrammetry and Remote Sensing, 2020. (featured article of issue Nov. 2020).
  4. Yu Feng*, Frank Thiemann & Monika Sester. Learning cartographic building generalization with deep convolutional neural networks. ISPRS International Journal of Geo-Information, 2019.
  5. Yu Feng* & Monika Sester. Extraction of pluvial flood relevant volunteered geographic information (VGI) by deep learning from user generated texts and photos. ISPRS International Journal of Geo-Information, 2018.

Publications after 2023


  • Chen, Chuan; Feng, Yu; Wei, Mengyi; Liu, Zihan; Luo, Peng; Wang, Shengkai; Meng, Liqiu: A hyper-knowledge graph system for research on AI ethics cases. Heliyon 10 (7), 2024, e29048 mehr…
  • Ding, Linfang; Xiao, Guohui; Pano, Albulen; Fumagalli, Mattia; Chen, Dongsheng; Feng, Yu; Calvanese, Diego; Fan, Hongchao; Meng, Liqiu: Integrating 3D city data through knowledge graphs. Geo-spatial Information Science, 2024, 1-20 mehr…
  • Wei, Mengyi; Feng, Yu; Chen, Chuan; Luo, Peng; Zuo, Chenyu; Meng, Liqiu: Unveiling public perception of AI ethics: an exploration on Wikipedia data. EPJ Data Science 13 (1), 2024 mehr…


  • Chen, Dongsheng; Feng, Yu; Meng, Liqiu: Urban morphology meets geo-knowledge graph. Abstracts of the ICA 6, 2023, 1-2 mehr…
  • Feng, Yu; Qian, Ning; Fu,Cheng; Zhou, Zhiyong; Sester, Monika: PolygonTranslator - learning to simplify building footprints from one scale to another. Abstracts of the ICA 6, 2023, 1-2 mehr…
  • Feng, Yu; Ding, Linfang; Xiao, Guohui: GeoQAMap - Geographic Question Answering with Maps Leveraging LLM and Open Knowledge Base (Short Paper). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2023 mehr…
  • Fu, Cheng; Zhou, Zhiyong; Feng, Yu; Weibel, Robert: Keeping walls straight: data model and training set size matter for deep learning in building generalization. Cartography and Geographic Information Science, 2023, 1-16 mehr…
  • Hou, Qianbao; Xia, Rui; Zhang, Jiahuan; Feng, Yu; Zhan, Zongqian; Wang, Xin: Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information. International Journal of Applied Earth Observation and Geoinformation 116, 2023, 103162 mehr…
  • Liu, Nianhua; Liu, Bing; Feng, Yu; Meng, Liqiu: Comparative User Experiments in Cognitive Pitfalls of Climate Change Information. Abstracts of the ICA 6, 2023, 1-2 mehr…
  • Yao, Yao; Feng, Chenqi; Xie, Jiteng; Yan, Xiaoqin; Guan, Qingfeng; Han, Jian; Zhang, Jiaqi; Ren, Shuliang; Liang, Yuyun; Luo, Peng: A site selection framework for urban power substation at micro‐scale using spatial optimization strategy and geospatial big data. Transactions in GIS 27 (6), 2023, 1662-1679 mehr…
  • Zeng, Zhe; Liu, Sai; Cheng, Hao; Liu, Hailong; Li, Yang; Feng, Yu; Siebert, Felix: GaVe: A webcam-based gaze vending interface using one-point calibration. Journal of Eye Movement Research 16 (1), 2023 mehr…
  • Zhan, Hao; Yu, Yifei; Xu, Yiwei; Hou, Qianbao; Wang, Xin; Feng, Yu; Zhan, Zongqian; Li, Minglei; Gruber, Michael; Hänsch, Ronny; Heipke, Christian: BEDOI: BENCHMARKS FOR DETERMINING OVERLAPPING IMAGES WITH PHOTOGRAMMETRIC INFORMATION. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023, 2023, 1685-1692 mehr…