• DocumentCode
    63269
  • Title

    Application of the Pareto Plus Noise Distribution to Medium Grazing Angle Sea-Clutter

  • Author

    Rosenberg, Luke ; Bocquet, Stephen

  • Author_Institution
    Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • Volume
    8
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    255
  • Lastpage
    261
  • Abstract
    Robust maritime surveillance with radar requires an accurate description of the backscatter from the sea. The probability distribution of the backscatter is commonly used to determine the threshold for separating targets from clutter. Analysis of data collected at medium grazing angles, between 15° and 45°, by the Defence Science Technology Organisation (DSTO) Ingara fully polarimetric X-band radar has shown that the Pareto distribution is extremely useful as it both captures the high-magnitude components of the sea-clutter and allows significantly simpler optimal and suboptimal detectors to be designed. To further enhance the usefulness of this distribution, this paper presents a multilook formulation which accounts for the thermal noise in the radar. A number of techniques for evaluating the distribution are then presented, including a numerical integration scheme and a number of approximations, which retain the original form of the Pareto distribution.
  • Keywords
    Pareto distribution; geophysical techniques; radar polarimetry; radiometry; remote sensing by radar; search radar; thermal noise; DSTO Ingara fully polarimetric X-band radar; Pareto plus noise distribution; maritime surveillance; medium grazing angle sea-clutter; numerical integration scheme; thermal noise; Approximation methods; Clutter; Compounds; Noise; Radar; Shape; Thermal noise; Pareto; probability distribution; radar; sea-clutter; seaclutter;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2014.2347957
  • Filename
    6895105