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：2008
卷号：XXXVII Part B1
页码：1099-1102
出版社：Copernicus Publications
摘要：High resolution space-borne remote sensing image data show a high level of detail and provide many opportunities to be integratedinto remote sensing applications. In particular, surface mapping from multi-view and stereo data sets becomes feasible with heightaccuracy in the meter range. Cartosat-1 and Cartosat-2 are the two Indian satellites which provide the high resolution images.Cartosat-1 is a unique satellite having along track stereo imaging capability with 2.5 m resolution. Cartosat-2 is the second satellite inthe Cartosat series which was launched during January 2007 by PSLV. Cartosat-2 is a high agility advanced satellite with a highspatial resolution of better than 1m in panchromatic band with an operational life of 5 years. Cartosat-2 provides standard multiplescene product called as Multi-view with an overlap of more than 80 percent. Stereo image viewing has been the most commonmethod of elevation modelling used by the mapping, photogrammetry, and remote sensing communities. Multi-view Image containsradiometrically corrected images with rational polynomial coefficients. Maximum three multi-view images are possible in a singlepass of the satellite. In this study Multi-view Images have been treated as stereo image pairs to obtain stereoscopy. Generating DEMsfrom stereo data normally requires the use of a geometric model and ground control points (GCPs). The collection of GCPs presentsa significant problem in many practical applications due to non availability of GCPs. A DEM generation method which requires noGCPs would therefore be of significant interest to users of stereo data. The RPC model was computed for each image. A pair ofquasi-epipolar image is generated from the stereo images to retain elevation parallax in the X-direction. An automated imagematching procedure is then used to produce the DEM. In this study, automatic DEM extraction of Cartosat-2 multi-View datawithout the use of GCPs has been evaluated, as well as the improvement of extracted DEM quality by applying horizontal shift onreference DEMs from the available Global DEMs or other source DEMs. High quality DEM has been generated at 2 m grid spacingwhich will be of immense use for producing digital city model (DCMs)
