An integrated model for extracting surface deformation components by PSI time series

Rui Zhang, Guoxiang Liu, Tao Li, Lanxin Huang, Bing Yu, Qiang Chen, Zhilin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)


The persistent scatterer interferometric synthetic aperture radar (PSI) has proven to be a powerful tool for monitoring surface deformation. However, the conventional deformation models cannot be fully adapted to analysis of the complicated deformation process. Taking into account seasonal response and tectonic movement, this letter presents an integrated deformation model for separating deformation components through PSI time series, thus obtaining the linear deformation rate, the deformation acceleration and the seasonal deformation amplitude at each PS. An iterative solution method is proposed to estimate the parameters in the integrated model. The experiments are carried out for subsidence detection over the northwestern part of Tianjin (China) by using the 40 high-resolution TerraSAR-X SAR images acquired between 2009 and 2010 and the ground truth data collected by precise leveling at seven benchmarks and six man-made corner reflectors. The testing results indicate that the integrated model has better adaptability to the subsidence process in the study area than the conventional models. The further analysis shows that the deformation results derived from the iterative solution are in better agreement with the ground truth data. These demonstrate that the proposed methodology is effective for monitoring the surface deformation with remarkable nonlinear property.
Original languageEnglish
Pages (from-to)544-548
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number2
Publication statusPublished - 1 Jan 2014
Externally publishedYes


  • An integrated model
  • Deformation components
  • Persistent scatterer InSAR (PSI)
  • Time series analysis

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering


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