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A fuzzy identification method for persistent scatterers in PSInSAR technology

1 School of Mathematics and Statistics, Xuzhou University of Technology, Xuzhou 221018, China
2 School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

Special Issues: Application of Soft Computing

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.
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Keywords fuzzy sets; fuzzy PS; membership degree; amplitude; amplitude dispersion; PS identification

Citation: Wanli Liu, Qiuzhao Zhang, Yueying Zhao. A fuzzy identification method for persistent scatterers in PSInSAR technology. Mathematical Biosciences and Engineering, 2020, 17(6): 6928-6944. doi: 10.3934/mbe.2020358


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