A Robust Estimation Method for Rational Function Model Parameters of Satellite Remote Sensing Imagery
A technology of satellite remote sensing images and model parameters, applied in the field of surveying and mapping science, can solve problems such as affecting the accuracy of the solution, ill-conditioned normal equations, etc., and achieve the effects of high-precision estimation, overcoming ill-conditioning, and improving robustness and accuracy.
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[0023] Taking the solution of the parameters of the RFM model of a SAR satellite remote sensing image as an example, using a calculation method that has nothing to do with the terrain, the steps are described in detail as follows:
[0024] The first step is to establish a grid of control points and a grid of checkpoints
[0025] The control point grid and the checkpoint grid are generally established at the same time. In general, compared with the control point grid, the latitude and longitude interval in the checkpoint grid is taken as half, and the number of elevation layers is taken as twice.
[0026] Specific steps are as follows:
[0027] (1) Assuming that the positive calculation formula of the strict imaging geometric model of SAR satellite remote sensing images is as follows:
[0028] (Lat,Lon)=T(Sample,Line,Height) (1)
[0029] In the formula, T represents the conversion relationship of the latitude and longitude coordinates (Lat, Lon) calculated from the image coor...
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