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：2008
卷号：XXXVII Part B3b
页码：313-318
出版社：Copernicus Publications
摘要：LIDAR (Light Detection And Ranging) is a mature remote sensing technology which can provide accurate elevation data for both topographic surfaces and above-ground objects. Derivation of accurate digital terrain models is one of its important applications, especially for complex scenes. In recent years, many different approaches have been developed to separate ground points from object points, including mathematical morphology, adaptive and robust filtering, and unsupervised segmentation. Most of these algorithms are based on geometric characteristics of LIDAR points. This paper presents an approach to separate vegetation points from ground points in a mountainous area. The approach is mostly based on skewness change of LIDAR intensity information from both all laser returns. LIDAR data for the study area provided by ISPRS Commission III Working Group 3 are used to test the algorithm . Results show that the method can efficiently separate ground points from above-ground points in a forested area
关键词：LIDAR; Intensity; Skewness; Point Cloud; DTM; Forested Areas
