AU-NET: A DEEP LEARNING NETWORK FOR PRECISE WATER BODY EXTRACTION IN THE MIDDLE AND LOWER REACHES OF THE YELLOW RIVER
C. Liu,X. Guo,and J. Jiang
C. Liu
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture(BUCEA), Beijing, 100044, China
Key Laboratory of Urban Spatial Information, Ministry of Natural Resources of the People's Republic of China, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
X. Guo
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture(BUCEA), Beijing, 100044, China
Key Laboratory of Urban Spatial Information, Ministry of Natural Resources of the People's Republic of China, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
J. Jiang
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture(BUCEA), Beijing, 100044, China
Key Laboratory of Urban Spatial Information, Ministry of Natural Resources of the People's Republic of China, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
Viewed
Total article views: 838 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
673
142
23
838
16
17
HTML: 673
PDF: 142
XML: 23
Total: 838
BibTeX: 16
EndNote: 17
Views and downloads (calculated since 27 Oct 2022)
Cumulative views and downloads
(calculated since 27 Oct 2022)
Viewed (geographical distribution)
Total article views: 818 (including HTML, PDF, and XML)
Thereof 818 with geography defined
and 0 with unknown origin.