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Application of RPC model for InSAR phase evaluation

机译:RPC模型在InSAR阶段评估中的应用

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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.
机译:InSAR是一种从SAR信号的相位中提取地形地形的三维信息的技术,而有理多项式系数(RPC)模型引起了摄影测量学和遥感界的极大兴趣。在基于距离多普勒(RD)方程的基础上,已经针对SAR严格传感器模型的RPC模型的可替代性做了一些工作,此外,还研究了RPC模型对于严格的InSAR(干涉式SAR)的可替代性。几何传感器模型,该模型基于RD方程和相位方程。对于InSAR过程,基线评估对于最终提取的DEM非常重要,但是当使用RPC模型代替InSAR严格的几何传感器模型时,不能明确包含基线参数。因此,我们认为相位评估可以代替基线评估,并且可以应用于RPC模型,该模型可以补偿由轨道引起的误差并可以重建真实相位。

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