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Research Articles
Text GCN-SW-KNN: a novel collaborative training multi-label classification method for WMS application themes by considering geographic semantics
Zhengyang Weia School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information
, Zhipeng Guia School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China;b State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;c Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaCorrespondence[email protected]
https://orcid.org/0000-0001-9467-9680View further author information
Min Zhangb State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;c Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaView further author information
, Zelong Yangb State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;c Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaView further author information
, Yuao Meib State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaView further author information
, Huayi Wub State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China;c Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, ChinaView further author information
, Hongbo Liud Information Technology Department, Chongqing Geomatics and Remote Sensing Center, Chongqing, ChinaView further author information
& Jing Yud Information Technology Department, Chongqing Geomatics and Remote Sensing Center, Chongqing, ChinaView further author information
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Pages 66-89
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Received 03 Aug 2020, Accepted 10 Jan 2021, Published online: 24 Feb 2021
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