• DocumentCode
    576094
  • Title

    Adaptive spatial multilooking and temporal multilinking in SBAS Interferometry

  • Author

    Fornaro, G. ; Reale, D. ; Verde, S.

  • Author_Institution
    Inst. for the Electromagn. Sensing of the Environ., Naples, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1892
  • Lastpage
    1895
  • Abstract
    We present an adaptive filtering algorithm for accurate estimation of differential interferometric phase and coherence, in order to better support the SBAS approach. The typical method to enhance interferograms is a simple boxcar multilooking, that improves the signal-to-noise ratio (SNR) at the expense of the spatial resolution. The presented technique is based on an adaptive space filter that identifies and averages statistically homogeneous pixels in a given neighbourhood. It also consists of a phase filtering operation in the time domain via the temporal multilink for recovering the consistency of the interferometric phase (phase triangulation). Results on real Cosmo-SkyMed data, acquired over the city of Naples, are shown in order to demonstrate the effectiveness of the presented technique.
  • Keywords
    geophysical image processing; image resolution; radar interferometry; remote sensing by radar; Cosmo-SkyMed data; Italy; Naples; SBAS Interferometry; adaptive filtering algorithm; adaptive space filter; adaptive spatial multilooking; boxcar multilooking; coherence estimation; differential interferometric phase estimation; spatial resolution; temporal multilinking; Coherence; Estimation; Interferometry; Monitoring; Remote sensing; Spatial resolution; Synthetic aperture radar; Adaptive Multilooking; Differential Interferometric Synthetic Aperture Radar (SAR) (InSAR)(DInSAR); Radar Backscattering Statistics; Small Baseline Subset Algorithm (SBAS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351137
  • Filename
    6351137