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    • Fusing gradient and strong scattering of images with Supervised-Attention and Anchor-Free method for target detection in SAR images

    • “Experts propose the Tri GCA-FCOS network for SAR image target detection in complex scenes, which improves target detection performance through supervised attention mechanism and fusion of SAR image characteristics, providing a new solution for complex scene target detection.”
      • role：First author第一作者
      • Affiliation：

        School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China

        Shenyang Aircraft Design and Research Institute, Shenyang 100101, China

        National Key Laboratory of Aircraft Configuration Design, Xi'an 710072, China

      • Email：wangyu45855177@126.com
      • Introduction：王禹，研究方向为飞行智能感知技术应用。E-mail： wangyu45855177@126.com

      WANG Yu

      123,
      • Affiliation：

        School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China

        National Key Laboratory of Aircraft Configuration Design, Xi'an 710072, China

      LI Jiapeng

      13,
      • Affiliation：

        Shenyang Aircraft Design and Research Institute, Shenyang 100101, China

      QIAN Peng

      2,
      • Affiliation：

        Shenyang Aircraft Design and Research Institute, Shenyang 100101, China

      SUN Zheng

      2,
      • role：Corresponding author通信作者
      • Affiliation：

        School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China

        National Key Laboratory of Aircraft Configuration Design, Xi'an 710072, China

      • Email：bushuhui@nwpu.edu.cn
      • Introduction：布树辉，研究方向为自主无人机与机器人、图形与图像处理、机器学习及其应用。E-mail： bushuhui@nwpu.edu.cn

      BU Shuhui

      13 *
    • Vol. 30, Issue 3, Pages: 520-533(2026)  

    • DOI：10.11834/jrs.20265065    

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