机载LiDAR数据滤波预处理方法研究

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,焦作市高新区世纪大道2001号454003

基金项目: 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)

详细信息

Preprocessing Algorithms for Filtering Airborne LiDAR Data

¹School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China;²Information Center,Hengyang Bureau of Land Resources,1 Furong Road,Hengyang 421001,China;³College of Earth Sciences,Chengdu University of Technology,1 Dongsan Road,Chengdu 610059,China;⁴School of Surveying and Land Information Engineering,Henan Polytechnic University,2001 Shiji Road,Jiaozuo 454003,China

Funds: 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。
- 机载激光雷达 /
- 点云 /
- 滤波 /
- 均值限差预处理 /
- 角度限差预处理
Abstract: 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 preprocessing 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.
- airborne LiDAR /
- point cloud /
- filtering /
- mean-tolerance preprocessing /
- angle-tolerance preprocessing