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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B3-2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-377-2021
© Author(s) 2021. 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-archives-XLIII-B3-2021-377-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Jun 2021
| 28 Jun 2021
GRAPH NEURAL NETWORK BASED MULTI-FEATURE FUSION FOR BUILDING CHANGE DETECTION
W. Yuan
Center for Spatial Information Science, University of Tokyo, 5-1-5, Kashiwa, Chiba, Japan
Wuhan University, School of Remote Sensing and Information Engineering, 129 Luoyu Road Wuhan, Hubei, China
X. Yuan
Wuhan University, School of Remote Sensing and Information Engineering, 129 Luoyu Road Wuhan, Hubei, China
Z. Fan
Center for Spatial Information Science, University of Tokyo, 5-1-5, Kashiwa, Chiba, Japan
Z. Guo
Center for Spatial Information Science, University of Tokyo, 5-1-5, Kashiwa, Chiba, Japan
X. Shi
Center for Spatial Information Science, University of Tokyo, 5-1-5, Kashiwa, Chiba, Japan
J. Gong
Wuhan University, School of Remote Sensing and Information Engineering, 129 Luoyu Road Wuhan, Hubei, China
R. Shibasaki
Center for Spatial Information Science, University of Tokyo, 5-1-5, Kashiwa, Chiba, Japan
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