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Patch-Like Reduction (PLR): A SAR Offset Tracking amplitude filter for deformation monitoring
International Journal of Applied Earth Observation and Geoinformation ( IF 7.5 ) Pub Date : 2022-09-01 , DOI: 10.1016/j.jag.2022.102976
Sen Du, Jordi J. Mallorqui, Feng Zhao

As complementary to Synthetic Aperture Radar (SAR) Differential Interferometry (DInSAR), SAR Offset Tracking (OT) is an efficient tool for large ground deformation monitoring in situations when DInSAR cannot work. However, SAR images are affected by speckle noise and some strong point-like scatters which can cause what is known as Patch Like (PL), a kind of errors that can be seen as homogeneous patches of almost constant deformation in the results. These errors are clearly visible in the results as non-consistent deformations along time, but they are difficult to detect with the traditional metrics that evaluate the cross-correlation results, like the Signal to Noise Ratio (SNR). This paper addresses this problem and proposes a simple amplitude filter to reduce PL named as Patch Like Reduction (PLR). The main idea is to find a sensor and scene independent threshold to remove the high amplitude pixels prone to cause PL. Five different SAR data sets and in-field GPS measurements are used to determine the optimal threshold and evaluate the performance of the proposed method. The results show that PL effects can be reduced with the proposed amplitude filter. The processing parameters of the improved OT processing chain are optimized as well to preserve the results resolution as much as possible.



中文翻译:

类补丁减少 (PLR):用于变形监测的 SAR 偏移跟踪幅度滤波器

作为合成孔径雷达 (SAR) 差分干涉测量 (DInSAR) 的补充,SAR 偏移跟踪 (OT) 是在 DInSAR 无法工作的情况下监测大地表变形的有效工具。然而,SAR 图像受到散斑噪声和一些强点状散射的影响,这些散射会导致所谓的斑块状 (PL),这种错误可以看作是结果中几乎恒定变形的均匀斑块。这些误差在结果中作为随时间变化的不一致变形在结果中清晰可见,但它们很难用评估互相关结果的传统指标检测,如信噪比 (SNR)。本文解决了这个问题,并提出了一种简单的幅度滤波器来减少 PL,称为 Patch Like Reduction (PLR)。主要思想是找到一个与传感器和场景无关的阈值来去除容易引起PL的高幅度像素。五个不同的 SAR 数据集和现场 GPS 测量用于确定最佳阈值并评估所提出方法的性能。结果表明,使用所提出的幅度滤波器可以减少 PL 效应。改进的 OT 处理链的处理参数也进行了优化,以尽可能地保持结果分辨率。

更新日期:2022-09-02
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