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  • 标题:SENSOR MODEL EVALUATION AND DEM GENERATION FOR CARTOSAT-1
  • 本地全文:下载
  • 作者:P. Michalis ; I. Dowman
  • 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:2006
  • 卷号:XXXVI Part 4
  • 出版社:Copernicus Publications
  • 摘要:In this paper the sensor model evaluation and DEM generation for CARTOSAT-1 pan stereo data is described. The model is tested on CARTOSAT-1 data provided under the ISPRS-ISRO Cartosat-1 Scientific Assessment Programme (C-SAP). The data has been evaluated using the along track Kepler model which is developed in UCL, and the Rational Polynomials Coefficient model (RPCs) model which is included in Leica Photogrammetry Suite (LPS). DEM is generated in LPS. The UCL model is a rigorous model based on the modified collinearity equations where the satellite motion during the acquisition time is simulated. On the other hand the RPCs model is provided with the images. In a few words the RPCs model should be refined using a least four GCPs in order to reach to an accepted accuracy close to pixel. The accuracy is not improved if more GCPs are involved in the solution. The UCL model as it is described in this paper is capable to reach better accuracy than RPCs model (two-three times). In DEM generation the accuracy is within the specification of the map products
  • 关键词:rigorous model; rational polynomials; along track satellite imagery; DEM
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