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    • Review of hyperspectral remote sensing image classification

      • role:First author第一作者
      • Affiliation:

        Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China, Nanjing University

        Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University

      DU Peijun

      12,
      • Affiliation:

        Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China, Nanjing University

        Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University

      XIA Junshi

      12,
      • Affiliation:

        Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China, Nanjing University

        Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University

      XUE Zhaohui

      12,
      • Affiliation:

        Jiangsu Provincial Key Laboratory of Resources Environment and Information Engineering, China University Of Mining and Technology

      TAN Kun

      3,
      • Affiliation:

        School of Earth Sciences and Engineering, Hohai University

      SU Hongjun

      4,
      • Affiliation:

        Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation of China, Nanjing University

        Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University

      BAO Rui

      12
    • Vol. 20, Issue 2, Pages: 236-256(2016)  
    • DOI:10.11834/jrs.20165022    

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Related Author

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Related Institution

School of Geography and Planning, Sun Yat-sen University
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences
Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, University of Geosciences
Institute of Surveying and Mapping,Information Engineering University
  信息工程大学测绘学院遥感信息工程系 河南郑州450052