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基于地基LiDAR点云数据插值方法的对比研究
引用本文:康 帅,季灵运,焦其松,张景发.基于地基LiDAR点云数据插值方法的对比研究[J].大地测量与地球动力学,2020,40(4):400-404.
作者姓名:康 帅  季灵运  焦其松  张景发
作者单位:中国地震局第二监测中心;中国地震局地壳应力研究所
基金项目:国家自然科学基金(41604015);中国地震局“三结合”课题(3JH-201901077)。
摘    要:以冷龙岭断裂上一处典型地貌点云数据为例,采用最邻近法、距离反比法、不规则三角网法、样条函数法、克里金法等5种插值方法进行遗漏点云插值填充,研究并探讨最合适的插值算法。结果表明,不规则三角网插值法不仅可以很好地填充点云遗漏数据,还可以按照实际地形变化精确表示其高程数据并还原野外的真实场景,为后期的研究提供数据保证。

关 键 词:LIDAR  点云数据  点云插值  地形地貌

Comparative Study of Point Cloud Data Interpolation Based on Ground-Based LiDAR
KANG Shuai,JI Lingyun,JIAO Qisong,ZAHNG Jingfa.Comparative Study of Point Cloud Data Interpolation Based on Ground-Based LiDAR[J].Journal of Geodesy and Geodynamics,2020,40(4):400-404.
Authors:KANG Shuai  JI Lingyun  JIAO Qisong  ZAHNG Jingfa
Institution:(The Second Monitoring and Application Center,CEA,316 Xiying Road,Xi’an 710054,China;Institute of Crustal Dynamics,CEA,1 Anningzhuang Road,Beijing 100085,China)
Abstract:Taking typical geomorphologic point cloud data on Lenglongling fault as an example, this paper uses five interpolation methods such as nearest neighbor, inverse distance weighting, triangulated irregular network, spline and Kriging, to fill the missing point cloud interpolation. The most suitable interpolation algorithm is discussed. Experiments show that the triangulated irregular network interpolation method not only fills the missing data of point clouds, but also accurately represents the elevation data according to actual topographic changes. This restores the real scene in the field, providing technical guidance and data guarantee for future research.
Keywords:LiDAR  point cloud data  point cloud interpolation  topography and landform  
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