• DocumentCode
    2221600
  • Title

    Scattering from fractal surfaces: Its physical reading in terms of alpha-stable distributions

  • Author

    Iodice, Antonio ; Natale, Antonio ; Riccio, Daniele

  • Author_Institution
    Dipt. di Ing. Biomed., Elettron. e delle Telecomun., Univ. di Napoli Federico II, Naples, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7651
  • Lastpage
    7654
  • Abstract
    Electromagnetic models for surface scattering represent a handy analytical tool useful in many remote sensing applications which exploit the prediction of the scattered field. Of course, the better is the surface model employed to compute the electromagnetic scattering, the more accurate are the forecasts on the scattered field, provided that closed form solutions for the statistics of the field are attainable. Accordingly, it is widely recognized that statistical scale-invariance properties exhibited by natural surfaces within a wide observation scale range are very efficiently described by means of fractal geometry. In this paper we focus on the Kirchhoff solution for the scattering from both classical and fractal surfaces, so allowing us to provide a novel physical interpretation of the Kirchhoff scattering integral in terms of the probability density function of the slopes of an equivalent rough surface.
  • Keywords
    electromagnetic wave scattering; fractals; remote sensing; topography (Earth); Kirchhoff solution; alpha-stable distributions; electromagnetic models; electromagnetic scattering; fractal surface scattering; physical reading; probability density function; remote sensing applications; Fractals; Optical surface waves; Rough surfaces; Scattering; Surface roughness; Surface treatment; Surface waves; Kirchhoff approximation; Rough surface scattering; fractals;
  • 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.2012.6351855
  • Filename
    6351855