Intelligent Applications of Remote Sensing | Views:436Downloads:642CSCD:0

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    • KAN-based hyperspectral remote sensing reflectance reconstruction in coastal waters

    • “Related research has made new progress in the field of nearshore marine water quality parameter inversion. Experts have constructed a hyperspectral Rrs reconstruction model based on KAN, trained on satellite remote sensing data, and reconstructed hyperspectral Rrs from multispectral Rrs. Its performance is better than traditional models, providing new ideas for improving the remote sensing inversion performance of complex water bodies.”
      • role：First author第一作者
      • Affiliation：

        School of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China

      • Email：1020232083@glut.edu.cn
      • Introduction：黄廷婷，研究方向为海洋水色遥感。E-mail： 1020232083@glut.edu.cn

      HUANG Tingting

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

        School of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China

        Key Laboratory of Spatiotemporal Big Data Perception and Service of Ecology, Guilin University of Technology, Guilin 541006, China

      • Email：dlfan@glut.edu.cn
      • Introduction：范冬林，研究方向为智能计算与海洋遥感。E-mail： dlfan@glut.edu.cn

      FAN Donglin

      12 * ,
      • Affiliation：

        School of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China

      HE Hongchang

      1,
      • Affiliation：

        School of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China

        Key Laboratory of Spatiotemporal Big Data Perception and Service of Ecology, Guilin University of Technology, Guilin 541006, China

      FU Bolin

      12,
      • Affiliation：

        The Fourth Institute of Oceanography, Ministry of Natural Resources, Beihai 536015, China

      TAN Haoyuan

      3
    • Vol. 30, Issue 2, Pages: 385-402(2026)  

    • DOI：10.11834/jrs.20255297    

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