Detecting ground deformation with permanent-scatterer network in radar interferometry: Algorithm and testing results

Guo Xiang Liu, Qiang Chen, Xiaoli Ding

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


To mitigate the negative influences of both spatio-temporal decorrelation and atmospheric delay in the conventional synthetic aperture radar differential interferometry (DInSAR), this paper explores and develops a permanent-scatterer (PS) networking algorithm and a set of computer programs. Both models and robust parameter-estimation strategy are presented. This method can be utilized to separate and extract the linear and nonlinear time series deformations, topographic errors and atmospheric signals. Taking the subsidence field of Shanghai as the study area, the experiments of deformation analysis by PS-DInSAR are finally performed using the simulated data and the 26 SAR scenes taken by ERS-1/2 from 1992 to 2002. The testing results show that the PS-networking method is effective and reliable.
Original languageChinese (Simplified)
Pages (from-to)13-18
Number of pages6
JournalActa Geodaetica et Cartographica Sinica
Issue number1
Publication statusPublished - 1 Feb 2007


  • Atmospheric influence
  • Deformation
  • DInSAR
  • PS-networking algorithm
  • Topographic error

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Earth-Surface Processes

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