文章基本信息

标题：Determination of Terrain Models by Digital Image Matching Methods
本地全文：下载
作者：C.H. Bauerhansl ; F. Rottensteiner ; C. Briese 等
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：2004
卷号：XXXV Part B4
页码：414-419
出版社：Copernicus Publications
摘要：Today, digital terrain models (DTMs) are used in many fields of science and practice. When modelling the earth's surface it is necessary to make a clear distinction between terrain models, i.e. models representing the terrain in the sense of the 'bare soil', and surface models, i.e. models that also include artificial buildings and vegetation. A DTM should not be influenced by off-terrain points such as points on vegetation and on buildings. Hierarchical robust filtering, a method for eliminating the influence of the off- terrain-points in DTM generation, has been shown to give good results for airborne laser-scanner-data. In this paper, we want to show that this method can also be applied successfully to improve the quality of DTMs created by image matching techniques. Those techniques deliver a digital surface model containing disturbances such as houses and forests, even if filtering methods are an integral part of the matching process. Hierarchical robust filtering, implemented in the program package SCOP++, can be used in order to eliminate these errors in the DTM. The results presented in this paper show the improvement of DTMs created by matching methods that can be achieved by this method, using test data from different areas of interest
关键词：DEM/DTM; Matching; Hierarchical; Modelling; Photogrammetry