Development on Filtering Algorithms of Airborne LiDAR Point Clouds

摘要：

　　Airborne LiDAR is a new kind of surveying technology of remote sensing eveloped rapidly during recent years.Raw laser scanning point clouds data include terrain points, building points, vegetation points, outlier points, etc..In order to generate digital elevation model (DEM) and three-dimensional city model,these point clouds data must be filtered.Mathematical morphology based filtering algorithm, slope based filtering algorithm, TIN based filtering algorithm, moving surface based filtering algorithm, scanning lines based filtering algorithm and so on several representative filtering algorithms for LiDAR point clouds data have been introduced and discussed and contrasted in this paper.Based on these algorithms summarize the studying progresss about the filtering algorithm of airborne LiDAR point clouds data in home and abroad.In the end, the paper gives an expectation which will provides a reference for the following relative study.

关键词： Airborne LiDAR Laser scanning Point clouds Filtering algorithm Expectation

作者: Jianqing Shi Tingchen Jiang Minglian Jiao

作者单位: School of Geodesy and Geomatics Engineering,Huaihai Institute of Technology,Cangwu Road 59,Lianyungang 222005,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 1892-1898

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）