• DocumentCode
    1757399
  • Title

    Sea-Spike Detection in High Grazing Angle X-Band Sea-Clutter

  • Author

    Rosenberg, Luke

  • Author_Institution
    Defence, Sci. & Technol. Organ., Edinburgh, SA, Australia
  • Volume
    51
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    4556
  • Lastpage
    4562
  • Abstract
    Knowledge of sea-clutter phenomenology allows accurate models to be developed for assessing target detection performance. The majority of work in this area has been at low grazing angles from clifftops or wave tanks and does not consider scattering in the high grazing angle region beyond 10 °. To improve our understanding at high grazing angles of 15 ° -45 °, the Defence Science and Technology Organisation´s Ingara airborne X-band fully polarimetric radar has been used to collect 12 days´ worth of sea-clutter data. This paper focuses on understanding the characteristics of sea-spikes as they are often the cause of false detections in a radar processor. Using the Ingara data, a threshold is used to isolate these scatterers in the range/time domain with results verified against the KK probability distribution function. Detections due to discrete and persistent scattering are then isolated to provide more information regarding the underlying cause of sea-spikes and answer the question of whether Walker´s three-component mean Doppler spectrum model is suitable at high grazing angles.
  • Keywords
    oceanographic techniques; radar polarimetry; remote sensing by radar; Defence Science and Technology Organisation; Ingara airborne X-band fully polarimetric radar; high grazing angle X-band sea-clutter; high grazing angle region; mean Doppler spectrum model; radar processor; sea-clutter data; sea-clutter phenomenology; sea-spike characteristics; sea-spike detection; target detection performance; Backscatter; Bandwidth; Data models; Doppler effect; Radar cross-sections; Scattering; Detection; sea-clutter; sea-spike;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2013.2239112
  • Filename
    6479294