机载LiDAR数据滤波预处理方法研究  

Preprocessing Algorithms for Filtering Airborne LiDAR Data

作　　者：王明华[1,2] 张小红[1] 曾涛[3] 成晓倩[4] 

机构地区：[1]武汉大学测绘学院,武汉市珞喻路129号430079 [2]湖南省衡阳市国土资源信息中心,衡阳市芙蓉路1号421001 [3]成都理工大学地球科学学院,成都市二仙桥东三路1号610059 [4]河南理工大学测绘与国土信息工程学院

出　　处：《武汉大学学报（信息科学版）》2010年第2期224-227,共4页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(40504001);武汉大学测绘遥感信息工程国家重点实验室资助项目(重点项目子项目1)

摘　　要：为简化后续的机载LiDAR点云数据滤波,针对茂密植被的陡坡林区,提出了均值限差预处理方法;针对具有密集墙面激光脚点的城区,提出了角度限差预处理方法。采用两组不同特征的实测数据分别对两种预处理方法进行了实验,定性和定量分析结果表明,预处理效果显著,使用了预处理的滤波结果与未使用预处理而直接滤波的结果相比,两类滤波误差均有所减小。In order to facilitate follow-up filtering of the airborne LIDAR points cloud, we presented two preprocessing methods. One is the mean-tolerance method for preprocessing the forested areas with dense vegetation and steep slope; the other one is the angle tolerance method for preprocessing the urban areas with dense laser footprints reflected from walls of buildings. Two datasets with different characteristics were used in experiments to test the two presented preproeessing methods. The experimental results were analyzed qualitatively and quantitatively. The results indicate that two preprocessing methods are effective, two types of filtering errors are reduced when filtering with preprocessing.

关 键 词：机载激光雷达 点云 滤波 均值限差预处理 角度限差预处理 

分 类 号：P228.5[天文地球—大地测量学与测量工程]