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A fuzzy identification method for persistent scatterers in PSInSAR technology.

Wanli Liu1, Qiuzhao Zhang2, Yueying Zhao1

  • 1School of Mathematics and Statistics, Xuzhou University of Technology, Xuzhou 221018, China.

Mathematical Biosciences and Engineering : MBE
|December 31, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a fuzzy Persistent Scatterer (PS) concept for Persistent Scatterer SAR Interferometry (PSInSAR) ground deformation analysis. The new fuzzy identification method improves the accuracy and reliability of PS detection in time-series SAR images.

Keywords:
PS identificationamplitudeamplitude dispersionfuzzy PSfuzzy setsmembership degree

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Area of Science:

  • Geodesy
  • Remote Sensing
  • Earth Observation

Background:

  • Persistent Scatterer SAR Interferometry (PSInSAR) is a key technique for ground deformation monitoring.
  • Traditional PS identification methods use binary classification, leading to potential paradoxes with ambiguous features.

Purpose of the Study:

  • To develop a novel fuzzy Persistent Scatterer (PS) identification method for PSInSAR.
  • To address the limitations of binary classification in PS detection.

Main Methods:

  • Introduced a fuzzy PS concept based on fuzzy set theory.
  • Designed a fuzzy identification algorithm considering pixel fuzzy characteristics.
  • Tested the method using two real SAR datasets.

Main Results:

  • The fuzzy method successfully identified more effective and reliable PS.
  • Achieved improved quality of selected PS data.
  • Demonstrated enhanced performance compared to traditional methods.

Conclusions:

  • The fuzzy PS identification method enhances PSInSAR accuracy and reliability.
  • This approach offers better ground deformation analysis and furthers PSInSAR technology development.