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：2011
卷号：XXXVIII - 4/W19
页码：245-250
DOI：10.5194/isprsarchives-XXXVIII-4-W19-245-2011
出版社：Copernicus Publications
摘要：One of the tasks of ISFEREA action at the Joint Research Center (JRC) in Ispra, Italy, is to assess changes in land cover after natural disasters using satellite imagery. To describe the pre-event and post-event scenarios the available heterogeneous data are analysed and eventually fused in order to achieve the most accurate and reliable information. With respect to automatic 3D information extraction, the availability of accurate and detailed Digital Surface Models (DSMs) is a crucial for automatic building detection and subsequent damage estimation. This paper proposes a methodology for the geometric refinement of an arbitrary DSM using high or very high resolution satellite scenes. The main idea is to fuse the DSM and the scene through an advanced hierarchical image partitioning. The method is applied on a dataset over Catalonia, Spain, provided by ISPRS WGI/4 through the project "Benchmarking and quality analysis of DEM generated from high and very high resolution optical stereo satellite data". During this experiment a WorldView-1 quasi-nadir scene was used for the enhancement of the DSM generated by a Cartosat-1 stereopair. The original and final DSM are compared to the Lidar DSM on the same area for quality analysis. After the description of the methodology, the first results are reported and commented
关键词：High resolution; very high resolution; Data fusion; Digital surface models; Segmentation
