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：2007
卷号：XXXVI–4/W45
出版社：Copernicus Publications
摘要：Airborne laser scanning systems provide high quality 3D point clouds from the earth's surface. A Digital Surface Model (DSM) is provided from the LIDAR data after removing the outliers from the point clouds. Generating Digital Terrain Models (DTM) is one of the most important applications of the LIDAR data. During the past few years many methods have been proposed for DTM generation from LIDAR DSM data. Almost all of them work properly in smooth and non-undulated urban areas. Problems appear especially in hilly urban areas where the 3D objects (e.g. buildings) are situated on and around hills. In such areas it happens frequently that the height of the ground at one side of a building is much different from the height at the other side. Another problem is the discrimination of tops of steep hills from buildings situated on these hilltops. In this paper an approach based on geodesic morphological reconstruction (Arefi and Hahn, 2005) is proposed. The experimental investigation shows the potential and reliability of this algorithm
关键词：LIDAR; Geodesic dilation; image reconstruction; digital terrain model; digital surface model; local range variation
