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    • Deep learning based on prior geometric features for the segmentation of individual tree point cloud components

    • “Lidar provides new technical support for non-destructive estimation of tree structural parameters and aboveground biomass. The research team constructed a large-scale dataset containing 713 individual trees, introduced the Point Transformer V3 network, and optimized the prior geometric features to achieve high-precision segmentation of multiple tree species and individual tree components, providing technical support for accurate estimation of tree structural parameters.”
      • role:First author第一作者
      • Affiliation:

        School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

        Changjiang Geotechnical Engineering Co., Ltd., CISPDR Corporation, Wuhan, 430010, China

      • Email:grl_rs@cug.edu.cn
      • Introduction:干瑞霖,研究方向为点云林业应用。E-mail:grl_rs@cug.edu.cn

      GAN Ruilin

      12,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

      • Email:yangjian@cug.edu.cn
      • Introduction:杨健,研究方向为荧光遥感、点云智能解译。E-mail:yangjian@cug.edu.cn

      YANG Jian

      1 * ,
      • Affiliation:

        School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

        Electronic Information School, Wuhan University, Wuhan 430072, China

      LUO Binhan

      13,
      • Affiliation:

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

      SHI Shuo

      4,
      • Affiliation:

        School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

      DU Lin

      1,
      • Affiliation:

        School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

      WU Zhongliang

      1,
      • Affiliation:

        School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

      WANG Sihao

      1,
      • Affiliation:

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

      WANG Ao

      4
    • Vol. 30, Issue 5, Pages: 1326-1340(2026)  
    • DOI:10.11834/jrs.20265201    

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