Agricultural Remote Sensing | Views:1482Downloads:2110CSCD:9
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    • Applicability of weak samples to deep learning crop classification

      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      • Email:201821051191@mail.bnu.edu.cn
      • Introduction:许晴,研究方向为农业遥感。E-mail: 201821051191@mail.bnu.edu.cn

      XU Qing

      ,
      • role:Corresponding author通信作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      • Email:zhangjs@bnu.edu.cn
      • Introduction:张锦水,研究方向为农业遥感。E-mail: zhangjs@bnu.edu.cn

      ZHANG Jinshui

      * ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      ZHANG Feng

      ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      GE Shuang

      ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      YANG Zhi

      ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

        Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      DUAN Yaming

    • Vol. 26, Issue 7, Pages: 1395-1409(2022)  
    • DOI:10.11834/jrs.20221127    

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