• DocumentCode
    2523944
  • Title

    Persistent scatterers detection assessment on COSMO-SkyMed data

  • Author

    Budillon, Alessandra ; Schirinzi, Gilda

  • Author_Institution
    Dipt. per le Tecnol., Univ. di Napoli Parthenope, Naples, Italy
  • fYear
    2012
  • fDate
    12-14 Sept. 2012
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    This paper aims to analyze the performances of persistent scatterers (PS) technique on real data COSMO-SkyMed. The generalized likelihood ratio test is used to detect the PS and two different assumptions are compared: deterministic PS model and Gaussian PS model.
  • Keywords
    geophysical image processing; geophysical techniques; radar imaging; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed data; Gaussian PS model; SAR data; deterministic PS model; generalized likelihood ratio test; persistent scatterers detection assessment; persistent scatterers technique; Clutter; Covariance matrix; Data models; Numerical models; Remote sensing; Synthetic aperture radar; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Radar and Remote Sensing (TyWRRS), 2012 Tyrrhenian Workshop on
  • Conference_Location
    Naples
  • Print_ISBN
    978-1-4673-2443-4
  • Type

    conf

  • DOI
    10.1109/TyWRRS.2012.6381126
  • Filename
    6381126