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Analytical Study of Along-Track InSAR Imaging of a Distributed Evolving Target With Application to Phase and Coherence Signatures of Breakers and Whitecaps

机译:分布式演化目标的沿轨InSAR成像分析研究及其在断路器和白浪的相位和相干特征中的应用

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摘要

Airborne along-track interferometric synthetic aperture radar (AT-InSAR) observations of the ocean surface often exhibit peculiar drops in coherence that can be quite compact (a few meters in size) and seem to be associated with breaking waves and whitecaps. Intriguingly, these signatures in the coherence map can be quite sharp and rather conspicuous, whereas the corresponding SAR image intensity in the same area may either suffer from apparent motion-related defocusing or lack any recognizable corresponding feature altogether. Such coherence drops are often accompanied by manifest perturbations in the interferometric phase. While there have been suggestions to use these details for breaker detection and even for breaker velocity retrieval, a basic understanding of why and how the patterns form needs to be developed first. To gain some insight in these phenomena, we consider AT-InSAR imaging of a simplified model feature that is a moving distributed target with a certain decorrelation time. The approach yields closed-form expressions that can be analyzed to identify possible mechanisms for forming such signatures. It appears that the intuitive explanation linking the drop in coherence to faster temporal decorrelation (something expected for a turbulent breaker) has its limitations when the feature is azimuthally small. Interference of the defocused and/or displaced image with the background may be the mechanism in the latter case.
机译:机载沿航迹的干涉式合成孔径雷达(AT-InSAR)对海洋表面的观测通常会显示出奇特的相干性下降现象,这些下降可能非常紧凑(几米大小),并且似乎与碎波和白浪有关。有趣的是,相干图中的这些签名可能非常清晰且相当明显,而同一区域中的相应SAR图像强度可能会遭受明显的与运动有关的散焦,或者完全缺乏任何可识别的相应特征。这种相干性下降通常在干涉测量阶段伴随明显的扰动。尽管有人建议将这些详细信息用于断路器检测,甚至用于断路器速度的检索,但首先需要了解为什么以及如何形成模式的基本知识。为了获得对这些现象的一些了解,我们考虑对简化模型特征进行AT-InSAR成像,该模型特征是具有一定解相关时间的移动分布式目标。该方法产生闭式表达式,可以对其进行分析以识别形成此类签名的可能机制。当特征的方位角较小时,将相干性下降与更快的时间去相关相关联的直观解释似乎存在局限性。在后一种情况下,机制可能是散焦和/或移位的图像与背景的干扰。

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