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基于高程统计方法的机载LiDAR点云数据滤波
引用本文:龚亮,张永生,施群山,徐国华.基于高程统计方法的机载LiDAR点云数据滤波[J].测绘与空间地理信息,2012(2):42-45.
作者姓名:龚亮  张永生  施群山  徐国华
作者单位:信息工程大学测绘学院;江西省数字国土重点实验室
基金项目:江西省数字国土重点实验室开放研究基金项目(DLLJ201111)资助
摘    要:提出了一种基于高程统计的LiDAR数据滤波方法,该方法以高程分布统计量为依据,通过迭代的方法逐个滤除,是一种基于原始点云的非监督滤波算法。采用北京凤凰岭地区某块机载LiDAR数据进行实验,并做出了实验改进。实验表明,该方法能够准确有效地滤除地物点,既能较好地保持数据信息量与精度,又不依赖于其他数据源,是一种简单有效的滤波算法。

关 键 词:机载激光扫描  滤波  高程分布  第三势差

A Filtering Method of Airborne LiDAR Point Cloud Data Based on Statistics of Elevation Distribution
GONG Liang,ZHANG Yong-sheng,SHI Qun-shan,XU Guo-hua.A Filtering Method of Airborne LiDAR Point Cloud Data Based on Statistics of Elevation Distribution[J].Geomatics & Spatial Information Technology,2012(2):42-45.
Authors:GONG Liang  ZHANG Yong-sheng  SHI Qun-shan  XU Guo-hua
Institution:1(1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China; 2.Jiangxi Provincial Key Lab for Digital Land,Fuzhou 344000,China)
Abstract:The authors put forward a LiDAR data filtering method based on the statistics of elevation distribution in this research.The proposed method,which is unsupervised and bases itself on raw points cloud,filters out object points via iteration on the basis of the statistics of elevation distribution.An experiment is conducted and improved with a group of LiDAR data of Fenghuangling area in Beijing.The results show that the proposed algorithm is simple and effective in filtering out object points,keeping data quantity and precision at the same time without relying on other data sources.
Keywords:airborne LiDAR  filtering  elevation distribution  the third moment of the mean
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