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: 1,685 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
624
1,014
47
1,685
61
46
HTML: 624
PDF: 1,014
XML: 47
Total: 1,685
BibTeX: 61
EndNote: 46
Views and downloads (calculated since 26 Sep 2018)
Cumulative views and downloads
(calculated since 26 Sep 2018)
Viewed (geographical distribution)
Total article views: 1,565 (including HTML, PDF, and XML)
Thereof 1,557 with geography defined
and 8 with unknown origin.