激光雷达点云数据的滤波算法述评

doi:10.11873/j.issn.1004-0323.2010.5.632

遥感技术与应用

2010, Vol. 25

Issue (5): 632-638 DOI: 10.11873/j.issn.1004-0323.2010.5.632

述评

激光雷达点云数据的滤波算法述评

王金亮,陈联君

(云南师范大学旅游与地理科学学院,云南昆明 650000 )

Review on Filtering Algorithm for LIDAR Points Cloud Data

WANG Jin-liang,CHEN Lian-jun

(College of Tourism and Geographical Sciences,Yunnan Normal University,Kunming 650000,China)

全文: PDF(979 KB)

摘要：

机载激光雷达是一种快速获取高精度三维地理数据的新技术,对它所获取的点云数据的滤波过程就是将LIDAR点云数据中的地面点和非地面点分离的过程。主要对数学形态学的滤波算法、基于坡度的滤波法、基于TIN的LIDAR点云过滤算法、基于伪扫描线的滤波算法、基于多分辨率方向预测的LIDAR点云滤波方法等几种较为重要且实用的激光雷达点云数据滤波算法进行介绍和讨论,评价对比了各自算法的优势和不足,初步探讨了每种算法缺陷及其改进方向。

关键词： 激光雷达; 点云数据; 滤波算法

Abstract:

Airborne LIDAR is a new technology that can obtain high\|precision three-dimensional geographical data quickly.Filtering process for LIDAR points cloud data is to separate the non\|ground points from the ground points.Several important useful filtering algorithms for LIDAR points cloud data\|\|mathematical morphology based filtering algorithm,slope based filtering algorithm,TIN based filtering algorithm,pseudo scanning lines based filtering algorithm,etc.have been introduced,discussed and contrasted.their advantages and disadvantages,the improving advice to each filtering algorithms also have been presented in the paper.

Key words: LIDAR Points cloud data Filtering algorithms

收稿日期: 2010-01-20 出版日期: 2013-10-30

基金资助:

国家自然科学基金项目“三江并流区森林生态系统碳储量遥感定量研究”(40861009)资助。

作者简介: 王金亮(1963-),男,博士,教授,主要研究领域为遥感与GIS应用,环境与可持续发展教育。E-mail：wang_jinliang@hotmail.com。

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引用本文:

王金亮,陈联君. 激光雷达点云数据的滤波算法述评[J]. 遥感技术与应用, 2010, 25(5): 632-638.

WANG Jin-liang,CHEN Lian-jun. Review on Filtering Algorithm for LIDAR Points Cloud Data. Remote Sensing Technology and Application, 2010, 25(5): 632-638.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.5.632 或 http://www.rsta.ac.cn/CN/Y2010/V25/I5/632

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