A hierarchical approach to persistent scatterer network construction and deformation time series estimation

Rui Zhang, Guoxiang Liu, Zhilin Li, Guo Zhang, Hui Lin, Bing Yu, Xiaowen Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


This paper presents a hierarchical approach to network construction and time series estimation in persistent scatterer interferometry (PSI) for deformation analysis using the time series of high-resolution satellite SAR images. To balance between computational efficiency and solution accuracy, a dividing and conquering algorithm (i.e., two levels of PS networking and solution) is proposed for extracting deformation rates of a study area. The algorithm has been tested using 40 high-resolution TerraSAR-X images collected between 2009 and 2010 over Tianjin in China for subsidence analysis, and validated by using the ground-based leveling measurements. The experimental results indicate that the hierarchical approach can remarkably reduce computing time and memory requirements, and the subsidence measurements derived from the hierarchical solution are in good agreement with the leveling data.
Original languageEnglish
Pages (from-to)211-228
Number of pages18
JournalRemote Sensing
Issue number1
Publication statusPublished - 1 Jan 2015
Externally publishedYes


  • Deformation time series estimation
  • Hierarchical network construction
  • High-resolution SAR images
  • Persistent scatterer interferometry

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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