Persistent Scatterer SAR Interferometry (PSInSAR) is known as one of the most effective technique for monitoring and analyzing ground deformation. It is a key step that how to identify Persistent Scatterers (PS) effectively and automatically from time-series SAR images. In the past research, one pixel will be classified to “PS” set or “no-PS” set clearly by one or more threshold rules for PS features. However, it is easy to fall into the ‘either this or that’ logical paradox in some cases because the covered objects in study area usually possess ambiguous boundary for interested characteristics. In this paper, a fuzzy PS concept is present and a fuzzy identification method is designed based on fuzzy set theory by taking the fuzzy characteristics of the pixels into account. Two groups of real data tests indicate that the new method can not only recognize more effective and reliable PS, but also can obtain the better quality results of selected PS, which can be used to evaluate the result of deformation and further improve the PSInSAR technology.

中文翻译：

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PSInSAR技术中持久性散射体的模糊识别方法

持续散射SAR干涉测量法（PSInSAR）是监测和分析地面变形的最有效技术之一。如何从时间序列SAR图像中有效，自动地识别持久性散射体（PS）是关键的一步。在过去的研究中，一个像素将通过一个或多个PS功能阈值规则清晰地分为“ PS”集或“ no-PS”集。但是，在某些情况下，很容易陷入“这个或那个”逻辑悖论，因为研究区域中被遮盖的物体通常对于感兴趣的特征具有模糊的边界。本文提出了模糊PS概念，并基于模糊集理论设计了一种模糊识别方法，并考虑了像素的模糊特性。