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：2002
卷号：XXXIV Part 3 A
页码：55-61
出版社：Copernicus Publications
摘要：Different data sources for the determination of a digital terrain model (DTM) are available. New measurement techniques like laser scanning (LS) and interferometric synthetic aperture radar (InSAR) allow a high degree of automation and dense sensing. They pushed the development of new methods for data modelling. This paper presents robust methods for the automatic determination of a DTM from point cloud data. These robust methods operate on the original data points and allow the elimination of off-terrain points and the modelling of the terrain surface within one process. After a short description of the algorithms the paper focuses on the results of this technique applied to datasets from different sensors (airborne LS, terrestrial LS, satellite LS, tacheometry and photogrammetry).
