• DocumentCode
    1377169
  • Title

    Adaptive InSAR Stack Multilooking Exploiting Amplitude Statistics: A Comparison Between Different Techniques and Practical Results

  • Author

    Parizzi, Alessandro ; Brcic, Ramon

  • Author_Institution
    German Aerosp. Center, Remote Sensing Technol. Inst., Wessling, Germany
  • Volume
    8
  • Issue
    3
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    441
  • Lastpage
    445
  • Abstract
    Efficient estimation of the interferometric phase and complex correlation is fundamental for the full exploitation of interferometric synthetic aperture radar (InSAR) capabilities. Particularly, when combining interferometric measures arising both from distributed and concentrated targets, the interferometric phase has to be correctly extracted in order to preserve its physical meaning. Recently, an amplitude-based algorithm for the adaptive multilooking of InSAR stacks was proposed where it was shown that a comparison of the backscatter amplitude statistics is a suitable way to adaptively group and average the pixels in order to preserve the phase signatures of natural structures in the observed area. In this letter, different methods to compare amplitude statistics will be presented, compared through simulation and applied to real data. Based on these, recommendations are made concerning which method to use in practice.
  • Keywords
    backscatter; radar imaging; radar interferometry; synthetic aperture radar; adaptive InSAR stack multilooking; amplitude-based algorithm; backscatter amplitude statistics; complex correlation; interferometric phase; interferometric synthetic aperture radar capability; phase signatures; Coherence; Kernel; Pixel; Remote sensing; Shape; Synthetic aperture radar; Adaptive multilooking; coherence estimation; interferometry; radar backscatter statistics; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2010.2083631
  • Filename
    5634069