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Effect of sensor modelling methods on computation of 3-D coordinates from Cartosat-1 stereo data
Authors:Mritunjay Kumar Singh  RD Gupta  Snehmani  Anshuman Bhardwaj  Ashwagosha Ganju
Institution:1. Snow &2. Avalanche Study Establishment-Research and Development Center (SASE-RDC), Chandigarh, India;3. Geographical Information System Cell (GIS Cell), Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India;4. Geographical Information System Cell (GIS Cell), Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India
Abstract:The orbital and the rational polynomial coefficients (RPC) models are the two most commonly used models to compute a three-dimensional coordinates from an image stereo-pair. But it is still confusing that with the identical user provided inputs, which one of these two models provides more accurate digital elevation model (DEM), especially for mountainous terrain. This study aimed to find out the answer by evaluating the impact of used models on the vertical accuracy of DEM extracted from Cartosat-1 stereo data. We used high-accuracy photogrammetric DEM as the reference DEM. Apart from general variations in statistics, surprisingly in a few instances, both the DEMs provided contrasting results, thus proving the significance of this study. The computed root mean square errors and linear error at 90% (LE90) were lower in case of RPC DEM for various classes of slope, aspect and land cover, thus suggesting its better relative accuracy.
Keywords:orbital model  rational functions model (RFM)  rational polynomial coefficients (RPC)  digital elevation model (DEM)  Cartosat-1  accuracy assessment
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