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Superpixel segmentation integrated feature subset selection for wetland classification over Yellow River Delta.

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第一作者： Long,Cui

第一单位： Remote Sensing and Digital Earth Center, School of Computer Science and Technology, Qingdao University, Qingdao, 266071, China.;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China.

作者： Long,Cui ^[1] ; Jiahua,Zhang ^[2] ; Zhenjiang,Wu ^[3] ; Lan,Xun ^[3] ; Xiaopeng,Wang ^[4] ; Shichao,Zhang ^[4] ; Yun,Bai ^[4] ; Sha,Zhang ^[4] ; Shanshan,Yang ^[4] ; Qi,Liu ^[5]

作者单位： Remote Sensing and Digital Earth Center, School of Computer Science and Technology, Qingdao University, Qingdao, 266071, China.;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. ^[1] Remote Sensing and Digital Earth Center, School of Computer Science and Technology, Qingdao University, Qingdao, 266071, China. zhangjh@radi.ac.cn.;Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. zhangjh@radi.ac.cn. ^[2] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China. ^[3] Remote Sensing and Digital Earth Center, School of Computer Science and Technology, Qingdao University, Qingdao, 266071, China. ^[4] Department of Remote Sensing, Helmholtz Centre for Environmental Research-UFZ, Permoserstrasse 15, 04318, Leipzig, Germany. ^[5]

关键词 Feature selection Machine learning Random forest Superpixel segmentation Wetland classification

医学主题词湿地(Wetlands);生态系统(Ecosystem);江河(Rivers);算法(Algorithms)

DOI 10.1007/s11356-023-25861-5

PMID 36797389

发布时间 2023-04-18

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