期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-3/W19
页码：66-71
出版社：Copernicus Publications
摘要：The extraction of points on the bare Earth from point clouds acquired by airborne laser scanning is the most time consuming and expensive part in the production of digital elevation models with laser scanning. Current algorithms for filtering point clouds assume the Earth's surface to be continuous in all directions. This assumption leads to smoothed terrain representations in case of height discontinuities as they are often found in urban environments. This paper presents a new approach to filtering point clouds in which the point cloud is segmented into smooth segments that may still contain height discontinuities. The resulting segments are subsequently classified bare earth or object surfaces based on the geometric relationships with the surrounding segments. The paper demonstrates the advantages of segment-based classification with an analysis of data sets used in the ISPRS filter test
关键词：Segmentation; Filtering; Laser scanning; LiDAR; Point cloud
