• DocumentCode
    2229063
  • Title

    Characterization of em sea clutter with α-stable distribution

  • Author

    Fiche, Anthony ; Cexus, Jean-Christophe ; Khenchaf, Ali ; Rochdi, Majid ; Martin, Arnaud

  • Author_Institution
    LabSticc, ENSTA-Bretagne, Brest, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6059
  • Lastpage
    6062
  • Abstract
    In this contribution, an accurate description of the ocean backscatter from a probability density function is proposed. The Elfouhaily spectrum has been used to generate a realistic sea surface. The scattering field will be computed by using the Physical Optics (PO). The K distribution has been already used to characterize the Radar Cross Section (RCS) of the sea surface. However, the probability density function of the RCS can have heavy tails. Consequently, we use the α-stable distributions which can take care the property of heavy tails. The probability density function is estimated with a least squared method. We finally compare the results obtained with each model by using the Kolmogorov-Smirnov test from several random surfaces and a statistical study is made by giving a boxplot of the estimated parameters of the α-stable distribution.
  • Keywords
    least squares approximations; oceanographic techniques; probability; EM sea clutter characterization; Elfouhaily spectrum; Kolmogorov-Smirnov test; alpha-stable distribution; boxplot parameter estimation; heavy tail property; least squared method; ocean backscatter; physical optics; probability density function; radar cross section; realistic sea surface; scattering field; Clutter; Ocean temperature; Optical surface waves; Probability density function; Radar cross section; Sea surface; Surface waves; Elfouhaily spectrum; Physicals Optics; RCS; a-stable distribution;
  • 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.2012.6352225
  • Filename
    6352225