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Residual Motion Error Correction with Backprojection Multisquint Algorithm for Airborne Synthetic Aperture Radar Interferometry

机译:机载合成孔径雷达干涉法用反投影多斜视算法校正残差误差

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摘要

For airborne interferometric synthetic aperture radar (InSAR) data processing, it is essential to achieve precise motion compensation to obtain high-quality digital elevation models (DEMs). In this paper, a novel InSAR motion compensation method is developed, which combines the backprojection (BP) focusing and the multisquint (MSQ) technique. The algorithm is two-fold. For SAR image focusing, BP algorithm is applied to fully use the navigation information. Additionally, an explicit mathematical expression of residual motion error (RME) in the BP image is derived, which paves a way to integrating the MSQ algorithm in the azimuth spatial wavenumber domain for a refined RME correction. It is revealed that the proposed backprojection multisquint (BP-MSQ) algorithm exploits the motion error correction advantages of BP and MSQ simultaneously, which leads to significant improvements of InSAR image quality. Simulation and real data experiments are employed to illustrate the effectiveness of the proposed algorithm.
机译:对于机载干涉式合成孔径雷达(InSAR)数据处理,实现精确的运动补偿以获得高质量的数字高程模型(DEM)至关重要。本文提出了一种新颖的InSAR运动补偿方法,该方法结合了背投影(BP)聚焦和多斜视(MSQ)技术。该算法有两个方面。对于SAR图像聚焦,应用BP算法来充分利用导航信息。此外,推导了BP图像中残余运动误差(RME)的明确数学表达式,这为将MSQ算法集成到方位空间波数域中进行精细的RME校正铺平了道路。结果表明,提出的背投影多斜视(BP-MSQ)算法同时利用了BP和MSQ的运动误差校正优势,从而大大提高了InSAR图像质量。仿真和真实数据实验被用来说明所提算法的有效性。

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