Change Detection and Deep Learning | Views:5662Downloads:13308CSCD:21
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    • Review of remote sensing change detection in deep learning: Bibliometric and analysis

      • role:First author第一作者
      • Affiliation:

        School of Electrical and Information Engineering, Hunan University, Changsha 410082, China

      • Email:binyang@hnu.edu.cn
      • Introduction:杨彬,研究方向为遥感图像处理。E-mail:binyang@hnu.edu.cn

      YANG Bin

      1,
      • Affiliation:

        School of Electrical and Information Engineering, Hunan University, Changsha 410082, China

      MAO Yin

      1,
      • Affiliation:

        Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      CHEN Jin

      2,
      • Affiliation:

        National Satellite Ocean Application Service, Beijing 100081, China

      LIU Jianqiang

      3,
      • Affiliation:

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      CHEN Jie

      4,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100084, China

      • Email:kaiyan@bnu.edu.cn
      • Introduction:闫凯,研究方向为植被定量遥感、植被与气候动态响应。E-mail:kaiyan@bnu.edu.cn

      YAN Kai

      5 *
    • Vol. 27, Issue 9, Pages: 1988-2005(2023)  
    • DOI:10.11834/jrs.20222156    

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Related Author

MAO Yin 湖南大学 电气与信息工程学院
CHEN Jin 北京师范大学 地理科学学部
LIU Jianqiang 国家卫星海洋应用中心
CHEN Jie 中南大学 地球科学与信息物理学院
YAN Kai 中国地质大学(北京)土地科学技术学院
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