标题:Ground point filtering method of vehicle-borne laser point cloud in urban street
作者:Tian, Maoyi ;Liu, Rufei ;Lu, Xiushan
作者机构:[Tian, Maoyi ;Liu, Rufei ;Lu, Xiushan ] Geomatics College, Shandong University of Science and Technology, Qingdao, China;[Tian, Maoyi ;Lu, Xiushan ] K 更多
通讯作者:Liu, R
来源:Computer Modelling and New Technologies
出版年:2014
卷:18
期:3
页码:188-192
摘要:Through the analysis of the spatial characteristics of vehicle-borne laser point cloud data in urban street, a method to extract ground points accurately from point cloud data is proposed. Firstly, three-dimensional virtual grid is used to organize point cloud. Secondly, the initial low ground point in a grid is extracted by level plane constraint (LPC) method, and then a multi-scale neighbourhood analysis (MSNA) method is taken to optimize the low ground points further. Finally, the ground points from original point cloud data are filtered based on the local slope. The experiment shows that this method can effectively extract the ground points.
收录类别:EI
资源类型:期刊论文
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