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    • Sensitivity analysis of hyperspectral image compression to geometric and radiometric errors for on-orbit processing

    • “Hyperspectral remote sensing images have important application value in the in orbit detection and real-time diagnosis of surface anomalies due to their rich spectral information and high spatial resolution. The research progress in the field of in orbit compression is introduced. The research team has established an imaging error propagation model and explored knowledge distillation training strategies, providing useful references for in orbit detection and real-time diagnosis of surface anomalies.”
      • role：First author第一作者
      • Affiliation：

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

      • Email：huiwenwangmath@whu.edu.cn
      • Introduction：王慧雯，研究方向为遥感影像编码。E-mail： huiwenwangmath@whu.edu.cn

      WANG Huiwen

      1,
      • Affiliation：

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

      PI Yingdong

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

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

        Hubei Luojia Laboratory, Wuhan 430079, China

      • Email：wangmi@whu.edu.cn
      • Introduction：王密，研究方向为高精度智能卫星遥感技术。E-mail： wangmi@whu.edu.cn

      WANG Mi

      12 * ,
      • Affiliation：

        School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China

      GAO Zhi

      3,
      • Affiliation：

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

        Hubei Luojia Laboratory, Wuhan 430079, China

      ZHANG Haiming

      12
    • Pages: 1-18(2026)  

    • DOI：10.11834/jrs.20266021    

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