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基于扫描线坡度统计的LiDAR滤波算法
引用本文:杨晓云,梁鑫.基于扫描线坡度统计的LiDAR滤波算法[J].广西工学院学报,2011,22(4):65-68.
作者姓名:杨晓云  梁鑫
作者单位:广西工学院土木建筑工程系,广西柳州,545006
基金项目:基金项目:广西教育厅科研项目,广西工学院科学科研项目
摘    要:提出一种基于扫描线坡度统计的LiDAR滤波算法,该方法根据扫描线内点间距较小、密度较大的特点,将二维滤波转化为一维滤波.在统计扫描线内相邻点间的坡度。设定阈值迭代滤除地物点基础上,采用局部参数化表面拟合进一步将精化候选地面点,用ISPRS提供的参考数据进行实施测试分析,结果表明:可有效处理大面积、复杂城区,为下一步城市...

关 键 词:LiDAR  扫描线  坡度统计  滤波

LiDAR Filtering Based on Slope Statistic of Scanning Line
YANG Xiao-yun,LIANG Xin.LiDAR Filtering Based on Slope Statistic of Scanning Line[J].Journal of Guangxi University of Technology,2011,22(4):65-68.
Authors:YANG Xiao-yun  LIANG Xin
Affiliation:1 (1.Department of Civil Engineering,Guangxi University of Technology,Liuzhou 545006,China; 2.School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China)
Abstract:This paper proposes a new filter based on slope statistic to extract the ground points from airborne LiDAR data. For the high point density in scanning line, the method transferred two-dimensional filtering into one-dimensional, which improved the algorithm's efficiency greatly. Firstly, slope between two points in scanning line had been worked out. By slope statistic, non-ground points were removed. Secondly, curved surface fitting was used to correct the wrong detection of ground points. Reference data sets provided by ISPRS were selected to test the filter based on slope statistic. The data came from city areas. The results showed that the filter can remove most of the non-ground points effectively.
Keywords:lidar  scanning line  slope statistic  filtering
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