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    • Rotation-Transform-Based Scattering Characteristics Extraction and Classification in Agricultural Areas Using Dual-Polarization SAR Data

    • “Polarized SAR plays an important role in crop classification due to its all-weather advantages. This article introduces its research progress in the field of agricultural remote sensing. The research team explores a dual polarized SAR scattering feature extraction method based on rotation transformation, providing a solution to the problem of insufficient representation of complex scattering information of crops.”
      • role：First author第一作者
      • Affiliation：

        School of Civil Engineering, Xiangtan University, Xiangtan 411105, China

      • Email：xtuhwt@xtu.edu.cn
      • Introduction：韩文涛，研究方向为SAR模型分解与应用研究。E-mail： xtuhwt@xtu.edu.cn

      HAN Wentao

      1,
      • Affiliation：

        School of Civil Engineering, Xiangtan University, Xiangtan 411105, China

      WANG Mingxu

      1,
      • Affiliation：

        Xiangtan Survey and Design Institute, Xiangtan 411105, China

      CHEN Shulu

      2,
      • Affiliation：

        College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China

      GAO Han

      3,
      • Affiliation：

        School of Geosciences and Info‑Physics, Central South University, Changsha 410083, China

      WANG Changcheng

      4,
      • Affiliation：

        School of Geosciences and Info‑Physics, Central South University, Changsha 410083, China

      ZHU Jianjun

      4
    • Pages: 1-14(2026)  

    • DOI：10.11834/jrs.20266054    

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