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    • Airborne LiDAR point cloud clustering simplification algorithm considering terrain features and boundary protection against contraction

    • In the field of massive airborne LiDAR ground point cloud processing, experts have proposed a simplified point cloud clustering algorithm, which effectively improves the ability to preserve terrain features and prevent boundary shrinkage, providing a solution for efficient transmission and multi-scale applications.
    • Vol. 29, Issue 1, Pages: 314-328(2025)   

      Received:09 February 2023

      Published:07 January 2025

    • DOI: 10.11834/jrs.20233032     

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  • Wu H M,Chen C F,Sun Y N,Guo J J and Bei Y X. 2025. Airborne LiDAR point cloud clustering simplification algorithm considering terrain features and boundary protection against contraction. National Remote Sensing Bulletin, 29(1):314-328 DOI: 10.11834/jrs.20233032.
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SUN Yanning 山东省水利科学研究院
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