Three-dimensional surface displacements from insar and GPS measurements with variance component estimation

Jun Hu, Zhi Wei Li, Qian Sun, Jian Jun Zhu, Xiaoli Ding

Research output: Journal article publicationJournal articleAcademic researchpeer-review

74 Citations (Scopus)


Previous approaches that integrate interferometric synthetic aperture radar (InSAR) and GPS measurements for 3-D surface displacement mapping require statistically estimating the variances of the measurements to yield optimal results. We present a variance component estimation approach to weigh the InSAR and GPS measurements in deriving 3-D surface displacements. The approach exploits the observations themselves for determining the weighting scheme, and therefore the a priori information on the stochastic model of the observations is not required. This is of great importance as accurate knowledge on the stochastic model is often unavailable. The performance of the proposed method is validated with both simulated and real datasets.
Original languageEnglish
Article number6151024
Pages (from-to)754-758
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number4
Publication statusPublished - 14 Feb 2012


  • 3-D surface displacements
  • Global positioning system (GPS)
  • interferometric synthetic aperture radar (InSAR)
  • variance component estimation (VCE)

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering


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