Geo-spatial Information Science
Volume 26, 2023 - Issue 3
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Research Article
Deep learning for change detection in remote sensing: a review
Ting Baia Project Planning Department, Wuhan Land Arranging Storage Center, Wuhan, Chinahttps://orcid.org/0000-0002-7990-5405View further author information
, Le Wangb Department of Geography, University at Buffalo, The State University of New York, Buffalo, USACorrespondence[email protected]
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Dameng Yinc Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, Chinahttps://orcid.org/0000-0001-9668-2744View further author information
, Kaimin Sund State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Chinahttps://orcid.org/0000-0002-2664-9479View further author information
, Yepei Chene School of Computer Science, Hubei University of Technology, Wuhan, Chinahttps://orcid.org/0000-0002-2877-5065View further author information
, Wenzhuo Lid State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Chinahttps://orcid.org/0000-0002-2920-3202View further author information
& Deren Lid State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;f Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaView further author information
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Pages 262-288
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Received 19 Aug 2021, Accepted 30 May 2022, Published online: 01 Jul 2022
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