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Airborne InSAR Interferometric Phase Analysis, Unwrapping Method and Fast Implementation in Low Coherence Areas
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( IF 5.5 ) Pub Date : 2020-01-01 , DOI: 10.1109/jstars.2020.3020148
Fangfang Li , Chibiao Ding , Yueting Zhang , Donghui Hu

Due to synthetic aperture radar (SAR) imaging geometry and scattering characteristics, there are some low coherence areas in interferometric SAR (InSAR) data, such as shadow and water, where the interferometric phase is discontinuous. Therefore, it is difficult to prevent the phase error spreading in the process of phase unwrapping. In this article, the characteristics of the interferometric phase in the shadow and water areas are theoretically analyzed, respectively. According to the analysis, instead of the usual integral path setting strategy, a novel unwrapping method based on the phase compensation is proposed to avoid the unwrapping error. Besides, a fast implementation method of the quality-guided unwrapping algorithm based on the heap sort is proposed to improve the efficiency. The experiment by real airborne InSAR data validates the effectiveness of the proposed method.

中文翻译:

机载 InSAR 干涉相位分析、展开方法和在低相干区域的快速实现

由于合成孔径雷达 (SAR) 成像几何和散射特性,干涉 SAR (InSAR) 数据中存在一些低相干区域,例如阴影和水,干涉相位不连续。因此,很难防止相位解缠过程中的相位误差扩散。本文分别从理论上分析了阴影区和水域区的干涉相位特性。根据分析,提出一种新的基于相位补偿的解缠方法来避免解缠误差,而不是通常的积分路径设置策略。此外,为了提高效率,提出了一种基于堆排序的质量引导解包算法的快速实现方法。
更新日期:2020-01-01
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