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Application of RPC model for InSAR phase evaluation

Application of RPC model for InSAR phase evaluation,10.1109/IGARSS.2011.6049560,Wen-bo Fei,Guo Zhang,Zhen Li

Application of RPC model for InSAR phase evaluation  
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InSAR is a technique to extract three-dimensional information on the terrain topography from the phase of the SAR signal and the rational polynomial coefficient (RPC) model has raised considerable interest in the photogrammetry and remote sensing communities. Some work has been done on the RPC model’s substitutability for the SAR rigorous sensor model, which is based on the Range-Doppler (RD) equation, moreover, there have been study discussing the substitutability of the RPC model to InSAR (Interferometric SAR) rigorous geometrical sensor model, which is based on the RD equation and phase equation.For the InSAR process, baseline evaluation is very important for the final extracted DEM, but when using RPC model for the replacement of InSAR rigorous geometrical sensor model, the parameter of baseline cannot be included explicitly. Hence, we contend that phase evaluation can be substituted for the baseline evaluation, and it can be applied for RPC model, which can compensate the error caused by orbit and can rebuild the real phase. model to InSAR (Interferometric SAR) rigorous geometrical sensor model, which is based on the RD equation and phase equation, and for the InSAR process, baseline evaluation is very important for the final extracted DEM, but when using RPC model for the replacement of InSAR rigorous geometrical sensor model, the parameter of baseline cannot be included explicitly. Hence, in this paper, we contend that phase evaluation can be substituted for the baseline evaluation, and it can be applied for RPC model, which can compensate the error caused by orbit and can rebuild the real phase. So, the paper aims to prove that for the RPC model, phase evaluation can be substituted for the baseline evaluation. In this paper, RPC model for InSAR phase model was first reviewed. Then a brief phase evaluation to the RPC model is summarized. Finally, based on the test, the phase evaluation for RPC model is then analyzed.
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