陡坡林区的LIDAR点云滤波方法  

FILTERING ALGORITHM FOR LIDAR POINTS CLOUD IN FORESTRY WITH STEEP SLOPE

作　　者：王明华[1] 张小红[1] 郭斐[1] 唐菲菲[1] 

机构地区：[1]武汉大学测绘学院,武汉市珞喻路129号430079

出　　处：《测绘信息与工程》2008年第6期1-3,共3页Journal of Geomatics

基　　金：国家自然科学基金资助项目(40504001);测绘遥感信息工程国家重点实验室开放研究基金资助项目

摘　　要：提出了基于坡度对陡坡林区LIDAR点云数据滤波的预处理算法,结合迭代最小二乘滤波方法改进了滤波效果,实测数据表明,有效地降低了第一类误差和第二类误差。To filter the LIDAR points cloud data in forestry with steep slop, a pretreatment algorithm based on slope is presened, and combined with the iterative linear prediction algorithm to improve the effect of filtering. The measured LIDAR data is used in the experiment, and the result shows that the DEM is generated better and the Type Ⅰ and Type Ⅱ error are reduced ef fectively after using the pretreatment.

关 键 词：激光雷达 点云 预处理 滤波 

分 类 号：P225[天文地球—大地测量学与测量工程]