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  • 标题:Potential of High-resolution Indian Remote Sensing Satellite Imagery for Large Scale Mapping
  • 本地全文:下载
  • 作者:P.V. Radhadevi ; V. Nagasubramanian ; M. Archana
  • 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:2016
  • 卷号:XL-3/W4
  • 出版社:Copernicus Publications
  • 摘要:This paper gives an assessment of the mapping potential of high-r esolution Indian remote sensing satellites Cartosat-1 and Cartosat-2. The satellites are equipped with in-track ster eo mapping capability; Car tosat-1 has two fixed panchromatic cameras and Cartosat-2 has a single panchromatic camera and body steering capability for along-track stereo acquis ition. At ADRIN, we have developed a methodology for correction of images with a rigor ous sensor model and minimum GCPs which is used for georeferencing of a wide class of linear CCD array sensors. The model is based on the photogrammetric collinearity equations. Variations in the sensor model with respect to the viewing geometries of Cartosat- 1 and Cartosat-2 are explained in the paper. Aspects of photogrammetric processing of the imagery are discussed . The geometric accuracy achieved from Car tosat-1 and Cartosat-2 images over the same set of check points are analysed . Cartosat-1 DEM, geometric accuracy and capability for topographic featur e capture are good enough for making 1:10000 scale maps. Geometric accuracy and feature detectability of Cartosat-2 indicate that it is capable of making 1:7000 scale maps. Cartosat-1 satellite is more stable because it is not continuously changing the view while imaging. . Based on the error estimation and analysis, it is concluded that if the str ict photogrammetr ic processing model and ground control points are emp loyed, high-resolution satellite imagery can be used for the generation and update of topographic map s of scale 1:10,000 and larger
  • 关键词:Car tosat-1; Car tosat-2; r igorous sensor model; stability; DEM;orthoimage
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