• DocumentCode
    1485677
  • Title

    Sea-wave fractal spectrum for SAR remote sensing

  • Author

    Berizzi, F. ; Mese, E. Dalle

  • Author_Institution
    Dept. of Inf. Eng., Pisa Univ., Italy
  • Volume
    148
  • Issue
    2
  • fYear
    2001
  • fDate
    4/1/2001 12:00:00 AM
  • Firstpage
    56
  • Lastpage
    66
  • Abstract
    A new model of the sea-wave directional spectrum based on fractals is proposed. An innovative aspect of the work is the theoretical approach used to get the `fractal sea spectrum´. The common spectrum models are described by empirical expressions derived from fitting experimental data. Starting from a definition of a fractal model of the sea surface, the spatial autocorrelation function is calculated and the directional sea spectrum derived by taking its two-dimensional Fourier transform. The fractal spectrum explicitly accounts for the fractality of the sea. The spectrum theoretically explains why its slope in the equilibrium range depends on the fractal dimension D of the sea surface and can be expressed by the relationship 2D-7, as usually claimed from experimental data. The spectrum is validated by comparing it to the common spectra of Pierson-Moskowitz (1964) and JONSWAP and to real data of the Mediterranean Sea. New research directions offered by this spectrum model in SAR remote sensing are addressed
  • Keywords
    Fourier transforms; correlation methods; fractals; ocean waves; remote sensing by radar; spectral analysis; synthetic aperture radar; 2D Fourier transform; JONSWAP spectra; Mediterranean Sea; Pierson-Moskowitz spectra; SAR remote sensing; directional sea spectrum; equilibrium range slope; experimental data; fractal dimension; fractal model; sea surface; sea-wave directional spectrum; sea-wave fractal spectrum; spatial autocorrelation function; spectrum models; two-dimensional Fourier transform;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:20010299
  • Filename
    920950