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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-3/W1-2022
https://doi.org/10.5194/isprs-annals-X-3-W1-2022-107-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-X-3-W1-2022-107-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Oct 2022
| 27 Oct 2022
AU-NET: A DEEP LEARNING NETWORK FOR PRECISE WATER BODY EXTRACTION IN THE MIDDLE AND LOWER REACHES OF THE YELLOW RIVER
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
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