Deep learning in environmental remote sensing: Achievements and challenges
Qiangqiang YuanCollaborative Innovation Center of Geospatial Technology, Wuhan, ChinaHuanfeng ShenCollaborative Innovation Center of Geospatial Technology, Wuhan, ChinaTongwen LiSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaZhiwei LiSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaShuwen LiSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaYun JiangSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaHongzhang XuSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaWeiwei TanThe State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaQianqian YangSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaJiwen WangSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaJianhao GaoSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaLiangpei ZhangCollaborative Innovation Center of Geospatial Technology, Wuhan, China
2020en
ABI
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Cited by 20 references