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    • A lightweight network for joint remote sensing image registration and change detection

    • “A lightweight network for joint remote sensing image registration and change detection has established a cross scale spatial transformation and spatiotemporal difference collaborative system, providing a solution for resource constrained device deployment and large-scale image batch processing.”
      • role：First author第一作者
      • Affiliation：

        Nanchang Institute of Surveying and Mapping Co., Ltd, Nanchang 330038, China

      • Email：1021386774@qq.com
      • Introduction：龚良雄，研究方向为遥感影像智能解译。E-mail： 1021386774@qq.com

      GONG Liangxiong

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

        School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

      • Email：lixinghua5540@whu.edu.cn
      • Introduction：李星华，研究方向为多时相智能遥感。E-mail： lixinghua5540@whu.edu.cn

      LI Xinghua

      2 * ,
      • Affiliation：

        Nanchang Urban Planning & Design Institute Group Co., Ltd, Nanchang 330038, China

      CHENG Yuanming

      3,
      • Affiliation：

        Nanchang Institute of Surveying and Mapping Co., Ltd, Nanchang 330038, China

      ZHAO Xingyou

      1,
      • Affiliation：

        School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, China

      GONG Xunqiang

      4,
      • Affiliation：

        Nanchang Urban Planning & Design Institute Group Co., Ltd, Nanchang 330038, China

      WANG Baoguo

      3,
      • Affiliation：

        College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China

      ZHAO Like

      5,
      • Affiliation：

        Nanchang Institute of Surveying and Mapping Co., Ltd, Nanchang 330038, China

      WANG Honggen

      1
    • Vol. 30, Issue 9, Pages: 2825-2842(2026)  

    • DOI：10.11834/jrs.20265453    

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Institute of Space and Earth Information Science, The Chinese University of Hong Kong
Department of Geography and Resource Management, The Chinese University of Hong Kong
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