SEMANTIC SEGMENTATION OF AERIAL IMAGERY VIA MULTI-SCALE SHUFFLING CONVOLUTIONAL NEURAL NETWORKS WITH DEEP SUPERVISION
K. Chen,M. Weinmann,X. Sun,M. Yan,S. Hinz,B. Jutzi,and M. Weinmann
K. Chen
Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, P. R. China
University of Chinese Academy of Sciences, Beijing, P. R. China
M. Weinmann
Institute of Computer Science II, University of Bonn, Bonn, Germany
X. Sun
Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, P. R. China
M. Yan
Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, P. R. China
S. Hinz
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
B. Jutzi
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
M. Weinmann
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
Viewed
Total article views: 2,380 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,005
1,248
127
2,380
187
238
HTML: 1,005
PDF: 1,248
XML: 127
Total: 2,380
BibTeX: 187
EndNote: 238
Views and downloads (calculated since 26 Sep 2018)
Cumulative views and downloads
(calculated since 26 Sep 2018)
Viewed (geographical distribution)
Total article views: 2,243 (including HTML, PDF, and XML)
Thereof 2,235 with geography defined
and 8 with unknown origin.