Remote Sensing Intelligent Interpretation | Views:449Downloads:660CSCD:0

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    • Cascade learning for object detection in remote sensing images under foggy conditions

    • “This paper introduces the research progress in the field of target detection in foggy remote sensing images. Relevant experts have established a cascading learning CL-FODM system for target detection in foggy conditions, providing an effective solution to the problem of decreased performance in target detection under foggy conditions.”
      • role：First author第一作者
      • Affiliation：

        School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

      • Email：2024282140091@whu.edu.cn
      • Introduction：万宇，研究方向为遥感地学解译，深度学习多任务联合。E-mail：2024282140091@whu.edu.cn

      WAN Yu

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

        School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

      • Email：jli89@sgg.whu.edu.cn
      • Introduction：李杰，研究方向为多源遥感图像智能化融合。E-mail：jli89@sgg.whu.edu.cn

      LI Jie

      1 * ,
      • Affiliation：

        School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

      ZHENG Li

      1,
      • Affiliation：

        School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

      LIN Liupeng

      2,
      • Affiliation：

        School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China

      YUAN Qiangqiang

      1,
      • Affiliation：

        School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

      LI Huifang

      2,
      • Affiliation：

        School of Intelligent Sports Engineering, Wuhan Sports University, Wuhan 430079, China

      YANG Yi

      3
    • Vol. 30, Issue 2, Pages: 347-357(2026)  

    • DOI：10.11834/jrs.20255024    

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