一种基于偏度平衡的LiDAR点云滤波方法  

A Skew ness Balancing Method for LiDAR Point Cloud Filtering

作　　者：王力军 黄荣刚[1] 万剑华[1] 曾喆[1] 刘善伟[1] 

机构地区：[1]中国石油大学(华东)地球科学与技术学院,山东青岛266580

出　　处：《海洋测绘》2013年第5期42-45,共4页Hydrographic Surveying and Charting

基　　金：中央高校基本科研业务费专项资金(10CX05007A;12CX04012A)

摘　　要：在地形起伏区域,针对免阈值的偏度平衡滤波方法存在利用高程难以满足算法假设条件、利用强度信息面临异物同强度等问题,提出基于高差的偏度平衡方法。该方法是在点云与初始地面TIN间高差计算的基础上,采用偏度平衡方法进行LiDAR点云滤波。利用ISPRS提供的测试数据对该方法进行实验,结果表明:在地形起伏区域,点云高差能够满足偏度平衡方法的假设条件,并且基于高差的偏度平衡方法滤波有效。In complicated terrain, skewness balancing method based on elevation cannot meet hypothesis of algorithm in many areas, and the problem based on intensity is that different objects have the same intensity value. So, the paper proposes skewness balancing method based on elevation difference. The method is adopted to filter LiDAR point clouds after calculating the elevation difference between the point cloud and sparse TIN of initial ground. Test data of ISPRS is selected to experiment. The experimental results demonstrate that elevation difference of point cloud could satisfy hypothesis of skewness balancing in complicated terrain, and the skewness balancing method based on elevation difference has better filtering results and is adapted to more complicated terrain.

关 键 词：机载激光雷达 偏度平衡方法 高差 点云数据 滤波 

分 类 号：P237[天文地球—摄影测量与遥感]