A Rigorous Geometric Model Considering the Variety of Side Watch Angle for High-resolution Satellite Imagery
01 Jan 2009-
TL;DR: In this paper, a rigorous geometric model based on affine transformation for high-resolution satellite imagery is modified in a stereo pair of SPOT-5 imagery acquired in across-track mode.
Abstract: According to the mechanism of the side watch angle uniform variety during the imaging procedure using CCD line-scanner, the rigorous geometric model based on affine transformation for high-resolution satellite imagery is modified in this paper. Both the forward and backward formulas between object-space and image-space are presented. A stereo pair of SPOT-5 imagery acquired in across-track mode is selected and used. The empirical results have shown that the proposed geometric model, compared with the original model which considers the CCD line-scanner side watch angle as a constant, can improve the x-coordinate accuracy of image points, and can also raise the height accuracy of object space coordinates significantly while maintain the same level of the planimetric accuracy. This has shown that the side watch angle variety of CCD line-scanner during the process of imaging is a non-negligible factor in the rigorous geometric model for processing high-resolution satellite imagery.
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16 Sep 2014
TL;DR: A method to determine the maximum side perspective with map precision constraints, and set up a conversion relationship among satellite side view, DEM error and image point error is put forward.
Abstract: In order to shorten the revisit period, and improve the efficiency of imaging, currently, all the in orbit high resolution remote sensing satellites adopt side-view imaging technology. When satellites imaging with a side perspective, it would inevitably cause the degradation of image quality, like spatial resolution reduction, image deformation incensement, and the reduction of positioning accuracy. In addition, with the increase of the side perspective, the error of DEM data will be amplified in the process of ortho-rectification, which, thus, will bring bigger error for image mapping accuracy. To address this problem, embarked from the impact of side view and DEM precision on image point error, this paper used Quick bird image data of the same area but different side perspectives, and simulate the impacts of different DEM elevation error on different side view image. At last we put forward a method to determine the maximum side perspective with map precision constraints, and set up a conversion relationship among satellite side view, DEM error and image point error. Finally, the paper combines the errors of 1:50000 DEM, ASTERGDEM and the requirement of ortho-image drawing, discusses and gives the values of maximum side perspective in the mountains and plains.
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...remote sensing image geometry processing model[5]....
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