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    • Review of deep learning in optical and SAR image fusion

      • role:First author第一作者
      • Affiliation:

        Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

      • Email:cff0829@126.com
      • Introduction:成飞飞,研究方向为深度学习和多源遥感影像配准与融合。E-mail:cff0829@126.com

      CHENG Feifei

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

      • Email:zhitaofu@126.com
      • Introduction:付志涛, 研究方向为异源影像特征描述符与配准。E-mail:zhitaofu@126.com

      FU Zhitao

      1 * ,
      • Affiliation:

        Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

        Surveying and Mapping Geo-Informatics Technology Research Center on Plateau Mountains of Yunnan Higher Education, Kunming 650093, China

      HUANG Liang

      12,
      • Affiliation:

        Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

      NIU Baosheng

      1,
      • Affiliation:

        Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

      CHEN Pengdi

      1,
      • Affiliation:

        Research Institute of Big Data and Artificial Intelligence, Southwest Forestry University, Kunming 650024, China

      WANG Leiguang

      3,
      • Affiliation:

        Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China

      JI Xinran

      1
    • Vol. 26, Issue 9, Pages: 1744-1756(2022)  
    • DOI:10.11834/jrs.20211136    

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Faculty of Land and Resources Engineering, Kunming University of Science and Technology Kunming
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