A fuzzy identification method for persistent scatterers in PSInSAR technology.

A fuzzy identification method for persistent scatterers in PSInSAR technology.
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PSInSAR技术中持久性散射体的模糊识别方法

DOI:
10.3934/mbe.2020358
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发表时间:
2020
期刊:
Mathematical biosciences and engineering : MBE
影响因子:
--
通讯作者:
Yueying Zhao
Yueying Zhao
中科院分区:
--
文献类型:
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作者:
Wanli Liu;Qiuzhao Zhang;Yueying Zhao

文献摘要

相似文献

持续散射体干涉SAR(PSInSAR)技术是监测和分析地面形变的有效手段之一。如何从时间序列SAR图像中自动有效地识别出持续散射体是SAR成像的关键步骤。在以往的研究中,一个像素将被区分为“PS”集或“非PS”集明确的一个或多个阈值规则的PS功能。然而,由于研究区域内的对象往往对感兴趣的特征具有模糊的边界,在某些情况下很容易陷入“非此即彼”的逻辑悖论。本文提出了模糊PS的概念,并根据像素点的模糊特性,设计了一种基于模糊集理论的模糊识别方法。两组真实的数据试验表明,该方法不仅能识别出更有效、更可靠的PS,而且能得到质量更好的PS结果,可用于变形结果的评价,进一步完善PSInSAR技术。
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.