文章基本信息

标题：Semi-Global Matching of Pléiades Tri-Stereo Imagery to Generate Detailed Digital Topography for High-Alpine Regions
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作者：Clemens Eisank ; Lorenzo Rieg ; Christoph Klug 等
期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2015
页码：168-177
DOI：10.1553/giscience2015s168
出版社：ÖAW Verlag, Wien
摘要：Nowadays, several sensors are capable of acquiring very high resolution (VHR) satelliteimages in stereo, and even in tri-stereo mode. These data can be efficiently exploited withphotogrammetric methods, such as semi-global matching (SGM), to produce high quality2.5D digital terrain information. Regarding the production of digital terrain models, sinceVHR (tri-)stereo satellite images are available at high temporal frequencies for nearly thewhole globe, they can be considered an attractive alternative to restricted and expensiveairborne laserscanning (ALS) data. In this study, SGM is applied to a Pléiades-1A imagetriplet, to generate an accurate and detailed 3D point cloud and a 2.5D digital surface model(DSM) for a high-alpine study area in South Tyrol with complex, snow- and ice-coveredtopography. Visual and quantitative comparison to an ALS reference DSM showed thatthere were only small elevation errors for large parts of the study area. Errors were higherin regions that were obscured by shade. This is one of the first studies demonstrating thatSGM is not only capable of delivering reliable digital surface information for flat and hillyregions, but also for high-alpine areas with complex terrain.