Modeling PSInSAR time series without phase unwrapping

Lei Zhang, Xiaoli Ding, Zhong Lu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

122 Citations (Scopus)


In this paper, we propose a least-squares-based method for multitemporal synthetic aperture radar interferometry that allows one to estimate deformations without the need of phase unwrapping. The method utilizes a series of multimaster wrapped differential interferograms with short baselines and focuses on arcs at which there are no phase ambiguities. An outlier detector is used to identify and remove the arcs with phase ambiguities, and a pseudoinverse of the variancecovariance matrix is used as the weight matrix of the correlated observations. The deformation rates at coherent points are estimated with a least squares model constrained by reference points. The proposed approach is verified with a set of simulated data.
Original languageEnglish
Article number5518395
Pages (from-to)547-556
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number1 PART 2
Publication statusPublished - 1 Jan 2011


  • Interferometric synthetic aperture radar (InSAR)
  • least squares
  • phase ambiguity
  • phase unwrapping
  • synthetic aperture radar (SAR)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • General Earth and Planetary Sciences


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