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    • Progress and prospect of tropical cyclone intensity estimation based on deep learning

    • “In the field of tropical cyclone intensity estimation, deep learning technology has made breakthroughs, providing new directions for improving accuracy and generalization ability.”
      • role：First author第一作者
      • Affiliation：

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      • Email：zhaozhitao19@ucas.ac.cn
      • Introduction：赵智韬，研究方向为遥感图像处理。E-mail： zhaozhitao19@ucas.ac.cn

      ZHAO Zhitao

      12,
      • role：Corresponding author通信作者
      • Affiliation：

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      • Email：zhangzheng2035@163.com
      • Introduction：张正，研究方向为人工智能的遥感应用。E-mail： zhangzheng2035@163.com

      ZHANG Zheng

      1 * ,
      • Affiliation：

        Shanghai Ecological Forecasting and Remote Sensing Center, Shanghai Meteorological Service, Shanghai 200030, China

      CUI Linli

      3,
      • Affiliation：

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      TANG Ping

      1,
      • Affiliation：

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

      WANG Qiao

      4
    • Vol. 29, Issue 4, Pages: 829-843(2025)  

    • DOI：10.11834/jrs.20253173    

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