Joint-scatterer processing for time-series InSAR

Xiaolei Lv, Birsen Yazici, Mourad Zeghal, Victoria Bennett, Tarek Abdoun

    Research output: Contribution to journalArticle

    Abstract

    The first-generation time-series synthetic aperture radar interferometry (TSInSAR) technique persistent-scatterer (PS) InSAR has been proven effective in ground deformation measurement over areas with high reflectivity by taking advantage of coregistered temporally coherent pointwise scatterers. In order to increase the spatial density of measurement points and quality of displacement time series over moderate reflectivity scenes, a second-generation TSInSAR called SqueeSAR was developed to extract displacement information from both PSs and distributed scatterers, by taking into account their temporal coherence and their spatial statistical behavior. In this paper, we propose a new second-generation TSInSAR, which is referred to as joint-scatterer (JS) InSAR, to measure the line-of-sight surface displacement using the neighboring pixel stacks. A novel goodness-of-fit testing approach is proposed to analyze the similarity between two JS vectors based on time-series likelihood ratios. By taking advantage of the proposed test, a new spatially adaptive filter is developed to estimate the covariance matrix. Based on the estimated covariance matrix, the projection of the joint signal subspace onto the corresponding joint noise subspace is applied to retrieve phase history. With coherence information of neighboring pixel stacks, JSInSAR is able to provide reliable geophysical parameters in the presence of large coregistration errors. The effectiveness of the proposed technique is verified with a time series of high-resolution SAR data from the TerraSAR-X satellite.

    Original languageEnglish (US)
    Article number6803041
    Pages (from-to)7205-7221
    Number of pages17
    JournalIEEE Transactions on Geoscience and Remote Sensing
    Volume52
    Issue number11
    DOIs
    StatePublished - Jan 1 2014

    Fingerprint

    Time series
    time series
    Processing
    Covariance matrix
    reflectivity
    pixel
    synthetic aperture radar
    Pixels
    TerraSAR-X
    radar interferometry
    matrix
    generation time
    Adaptive filters
    Synthetic aperture radar
    Interferometry
    Satellites
    filter
    Testing
    history
    stack

    Keywords

    • Covariance matrix
    • goodness-of-fit test
    • joint scatterers
    • likelihood ratios
    • persistent scatterers
    • SAR interferometry (InSAR)
    • spatially adaptive filter
    • SqueeSAR
    • synthetic aperture radar (SAR)

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Earth and Planetary Sciences(all)

    Cite this

    Joint-scatterer processing for time-series InSAR. / Lv, Xiaolei; Yazici, Birsen; Zeghal, Mourad; Bennett, Victoria; Abdoun, Tarek.

    In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 11, 6803041, 01.01.2014, p. 7205-7221.

    Research output: Contribution to journalArticle

    Lv, Xiaolei ; Yazici, Birsen ; Zeghal, Mourad ; Bennett, Victoria ; Abdoun, Tarek. / Joint-scatterer processing for time-series InSAR. In: IEEE Transactions on Geoscience and Remote Sensing. 2014 ; Vol. 52, No. 11. pp. 7205-7221.
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