• DocumentCode
    2868019
  • Title

    Alternative distributions for the multiplicative model in SAR images

  • Author

    Frery, Alejandro C. ; da Costa Freitas Yanasse, C. ; Anna, Sidnei J S Sant

  • Author_Institution
    Inst. Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    169
  • Abstract
    Another class of distributions is proposed to model the terrain backscatter, namely the class of the generalized inverse Gaussian distributions. Besides allowing the explicit calculation of the density of the random variable that models the radar return, these distributions have the remarkable property of having the gamma and other distributions as particular cases. The resulting distributions for complex, multilook intensity and multilook amplitude data are derived assuming the multiplicative model. These new densities yield to a more general model-than the classical one, which is given by the class of K distributions. Several plots are presented, showing the flexibility of these new distributions and its possible use as a model for SAR data
  • Keywords
    backscatter; geophysical techniques; radar applications; radar cross-sections; radar imaging; remote sensing by radar; synthetic aperture radar; SAR image; alternative distribution; calculation; generalized inverse Gaussian distribution; geophysical measurement technique; land surface; multilook amplitude; multilook intensity; multiplicative model; radar imaging; radar remote sensing; radar return; radar scattering; synthetic aperture radar; terrain backscatter model; terrain mapping; Backscatter; Gaussian distribution; Image analysis; Lighting; Physics; Random variables; Speckle; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.519680
  • Filename
    519680