基于纵横断面的机载雷达点云数据滤波  

Filtering of LiDAR points clouds based on vertical and horizontal sections

作　　者：黄迟[1] 张汉德 范学炜 纪红如 

机构地区：[1]中国地质大学(武汉),武汉430074 [2]中国海监北海航空支队,青岛266033 [3]国家测绘地理信息局第二地理信息制图院,哈尔滨150086

出　　处：《测绘科学》2015年第11期34-38,共5页Science of Surveying and Mapping

基　　金：国家863计划资助项目(2007AA092102)

摘　　要：针对现有基于坡度滤波的改进方法难以同时提升滤波速度与精度的问题,文章提出了一种基于纵横断面的机载LiDAR点云数据滤波方法。该方法视测区为多个断面构成,以行(列)为滤波基本单位,兼顾高程突变的方向信息,分别从纵横断面以基于坡度的判据进行滤波处理,可同时提高计算速度与结果精度。实验结果表明,该算法计算速度快,并且对于不同特征的地形都能取得较好的滤波效果。Aiming at the problem that it is difficult for the current filtering based on slope degree to balance the speed and precision of filtering,the paper proposed a filtering method for airborne LiDAR point cloud data based on vertical and horizontal sections：the filtering was performed from vertical and horizontal sections based on slope degree,by taking the measured area as multiple sections,the column or the row as the basic unit of filtering and considering the choppy direction information,which promoted the speed and precision simultaneously.Experimental result showed that the method would filter the point clouds efficiently for different landforms with high speed.

关 键 词：纵横断面 LIDAR 滤波 坡度 

分 类 号：P228[天文地球—大地测量学与测量工程]