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基于LIDAR点云数据插值方法研究
引用本文:徐巍,孙志鹏,徐朋,宗婷婷,胡金刚.基于LIDAR点云数据插值方法研究[J].工程地球物理学报,2012(3):365-370.
作者姓名:徐巍  孙志鹏  徐朋  宗婷婷  胡金刚
作者单位:[1]中国地质大学信息工程学院,湖北武汉430074 [2]中冶建工集团有限公司第一建筑工程公司,重庆400050 [3]河南省地质测绘总院,河南郑州450007 [4]北海市城市信息中心,广西北海536000
摘    要:利用机载LIDAR技术可以获取高精度﹑高密度的三维坐标数据,并生成三维立体模型,构建用户感兴趣的DEM和DSM,如今需要快速高效的处理LIDAR点云数据,研究和探讨最合适的插值方法就显得特别重要,本文着重研究了不同插值算法的特点。

关 键 词:LIDAR  DEM  DSM  点云  插值

Interpolation Method Based on the Point Cloud Data Lidar
Xu Wei,Sun Zhipeng,Xu Peng,Zong Tingting,Hu Jingang.Interpolation Method Based on the Point Cloud Data Lidar[J].Chinese Journal of Engineering Geophysics,2012(3):365-370.
Authors:Xu Wei  Sun Zhipeng  Xu Peng  Zong Tingting  Hu Jingang
Affiliation:1. Faculty of Information Engineering, China University of Geoscience , Wuhan Hubei 430074, China; 2. China Metallurgical Group Company Limited, Chongqing 400050, China; 3. General hospital geological mapping of Henan Province, Zhengzhou Henan 450007, China; 4. City Information Center of Beihai , Beihai Guangzi 536000,China)
Abstract:A large number of high--precision and high--density 3D coordinate data can be obtained by The technology of LIDAR(Light Detection And Ranging), and generate three-- dimensional model,build the DEM and DSM for users,now we need to deal with the point cloud data,The most appropriate interpolation method is very importance,This paper focuses on the characteristics of the different interpolation algorithm.
Keywords:light detection and ranging  DEM  DSM  point cloud  interpolation
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