• DocumentCode
    2111840
  • Title

    Statistical properties of L-band sea clutter measured with a polarimetric synthetic aperture radar

  • Author

    Choong, Poh Lian

  • Author_Institution
    Surveillance Syst. Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1622
  • Abstract
    The limiting factor affecting the performance of most airborne radar systems in detecting targets on or near the surface of the sea is return echoes from the sea surface or sea clutter. The objective of this paper is to provide an analysis of the statistics of Australian sea clutter for an L-band VV-polarised airborne radar system from sampled measured values. Polarimetric synthetic aperture radar (POLSAR) image of the North-West region of Australia, acquired in 1996 by the Jet Propulsion Laboratory (JPL) was used to study, the backscattered statistics of the sea surface. Using this POLSAR image, a number of different candidate distribution functions have been investigated, and their goodness-of-fit have been carried out using the Kolmogorov Smirnov goodness-of-fit test. The log-normal, Weibull and K-distributions have been applied to model the statistical properties of multi-look polarimetric SAR sea clutter. The K-distribution has been found to have good agreement with the observed sea clutter intensity distributions
  • Keywords
    airborne radar; marine radar; radar; radar clutter; radar detection; search radar; synthetic aperture radar; Australian system; K-distribution; L-band; POLSAR; SAR; UHF; Weibull distribution; airborne radar; log normal distribution; marine radar; model; radar clutter; radar polarimetry; sea clutter; search radar; statistical properties; synthetic aperture radar; target detection; Airborne radar; Australia; Clutter; L-band; Polarimetric synthetic aperture radar; Propulsion; Radar detection; Sea measurements; Sea surface; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.977013
  • Filename
    977013