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    • Spatiotemporal change collaborative perception method for remote sensing semantic change detection

    • “The core goal of semantic change detection is to accurately identify the complex changes in surface coverage and determine their corresponding semantic categories. The research progress in remote sensing monitoring is introduced, and the research team has established the semantic guided spatiotemporal collaborative perception network SemSTNet. Through semantic gating fusion decoder and deep semantic comparison loss, accurate change recognition is achieved, providing a solution for semantic change detection in complex scenes.”
      • role：First author第一作者
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an 710072, China

        National Elite Institute of Engineering, Northwestern Polytechnical University, Xi'an 710072, China

      • Email：wei_adam@mail.nwpu.edu.cn
      • Introduction：荆纬，研究方向为遥感图像处理、变化检测。E-mail： wei_adam@mail.nwpu.edu.cn

      JING Wei

      12,
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an 710072, China

      YAN Tingxuan

      1,
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an 710072, China

      JIN Xianglong

      1,
      • Affiliation：

        School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an 710072, China

      SONG Binbin

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

        School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi'an 710072, China

      • Email：crabwq@gmail.com
      • Introduction：王琦，研究方向为遥感图像处理、计算机视觉和模式识别。E-mail： crabwq@gmail.com

      WANG Qi

      1 *
    • Vol. 30, Issue 6, Pages: 1792-1806(2026)  

    • DOI：10.11834/jrs.20265265    

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