An Unsupervised Remote Sensing Change Detection Method Based on Multiscale Graph Convolutional Network and Metric Learning

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作者：
Tang, Xu [1 ]
Zhang, Huayu [2 ]
Mou, Lichao [3 ,4 ]
Liu, Fang [5 ]
Zhang, Xiangrong [6 ]
Zhu, Xiao Xiang [7 ,8 ]
Jiao, Licheng [9 ]
机构：
[1] Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an,710071, China
[2] Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an,710071, China
[3] German Aerospace Center, Remote Sensing Technology Institute, Wessling,82234, Germany
[4] Technical University of Munich, Data Science in Earth Observation (SiPEO, former: Signal Processing in Earth Observation), Munich,80333, Germany
[5] Nanjing University of Science and Technology, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing,210094, China
[6] Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an,710071, China
[7] German Aerospace Center, Remote Sensing Technology Institute, Wessling,82234, Germany
[8] Technical University of Munich, Data Science in Earth Observation (SiPEO, former: Signal Processing in Earth Observation), Munich,80333, Germany
[9] Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi'an,710071, China
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2022年 / 60卷
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