Remote Sensing Applications | Views:827Downloads:2009CSCD:0
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    • Application and challenge of machine learning in the satellite remote sensing of atmospheric aerosols

      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        State Key Laboratory of Spatial Datum, College of Remote Sensing and Geoinformatics Engineering, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      • Email:lizq@ radi.ac.cn
      • Introduction:李正强,研究方向为环境遥感。E-mail: lizq@ radi.ac.cn

      LI Zhengqiang

      123,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      JI Zhe

      13,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      ZHANG Zihan

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      YAN Xiaoxi

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      GU Haoran

      13,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      LI Zhiyu

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      YAO Qian

      13,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth & Key Laboratory of Satellite Remote Sensing of Ministry of Ecology and Environment, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

      WANG Shunzhi

      1,
      • Affiliation:

        State Key Laboratory of Spatial Datum, College of Remote Sensing and Geoinformatics Engineering, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China

      WANG Jiayao

      2
    • Vol. 29, Issue 6, Pages: 1788-1803(2025)  
    • DOI:10.11834/jrs.20255214    

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