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基于k-d树的机载LIDAR点云滤波处理
引用本文:刘艳丰,王守彬,汤仲安,赵永统.基于k-d树的机载LIDAR点云滤波处理[J].测绘工程,2009,18(5):59-62.
作者姓名:刘艳丰  王守彬  汤仲安  赵永统
作者单位:1. 中南大学,信息物理工程学院,湖南,长沙,410083
2. 武汉中咨测设工程技术有限公司,湖北,武汉,430030
3. 湖南省测绘科技研究所,湖南,长沙,410083
摘    要:点云数据滤波处理是获取高精度数字地面模型的关键,而滤波的基本原理是基于某一邻域内高程的突变。在海量、离散的点云数据中,搜索某一邻域的速度将直接影响滤波处理的效率。应用k-d树组织点云数据,不需要先验地知道点云数据间的拓扑关系便可以快速确定其中某一点的邻域点集,从而大大地提高滤波速度。

关 键 词:k-d树  机载LIDAR  点云滤波

Airborne LIDAR point cloud data filter based on k-d tree
LIU Yan-feng,WANG Shou-bin,TANG Zhong-an,ZHAO Yong-tong.Airborne LIDAR point cloud data filter based on k-d tree[J].Engineering of Surveying and Mapping,2009,18(5):59-62.
Authors:LIU Yan-feng  WANG Shou-bin  TANG Zhong-an  ZHAO Yong-tong
Institution:LIU Yan-feng, WANG Shou-bin, TANG Zhong-an, ZHAO Yong-tong (1. School of Info-physics and Geomatics Engineering, Central South University, Changsha 410083, China; 2. Wuhan Zhongzi Survey and Design Co. Ltd, Wuhan 430030, China; 3. The Institute of Surveying and Mapping Science ga Technology of Hunan, Changsha 410083, China)
Abstract:Point cloud data filtering is one of the most important tasks in gaining the high-accuracy Digital Terrain Model(DTM),and the basic principle of filtering is based on elevation abrupt changes in one neighbor area.To great quantity discrete point cloud data,the speed for searching one point s neighbors restricts the efficiency of data filtering.It is possible to quickly find one point s neighbors with k-d tree without prior knowing topological relations of point cloud data which improves the speed for data filtering.
Keywords:k-d tree  airborne LIDAR  point cloud filtering
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