Session “Deep Learning for Built Areas”

Chair: Xiaoxiang Zhu

 

  • Sylvain Lobry and Devis Tuia Deep Learning Models to Count Buildings in High-Resolution Overhead Images

 

  • Chunping Qiu, Michael Schmitt, Hannes Taubenböck and Xiao Xiang Zhu Mapping Impervious Surfaces with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt

 

  • Xiangyu Zhuo, Milena Moenks and Peter Reinartz Building Semantic Segmentation from Oblique UAV Imagery

 

  • Xiangtian Yuan, Jiaojiao Tian and Peter Reinartz Building Change Detection Based on Deep Learning and Belief Function

 

  • Yilei Shi, Qingyu Li and Xiao Xiang Zhu BFGAN — building footprint extraction from satellite images

 

  • Wei Zhang, Ping Tang, Lijun Zhao and Qingqing Huang A Comparative Study of U-Nets with Various Convolution Components for Building Extraction