• DocumentCode
    3065883
  • Title

    Polarimetric ATI slow target detection in a log likelihood framework

  • Author

    Stacy, Nick ; Preiss, M.

  • Author_Institution
    Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3163
  • Lastpage
    3166
  • Abstract
    The detection of slow moving targets for maritime surveillance applications can be achieved using target and clutter differences in backscatter magnitude and Along Track Interferometric (ATI) phase. This paper builds upon a previous evaluation of Synthetic Aperture Radar (SAR) ATI in a log likelihood framework to include polarimetric information. The log likelihood framework enables the assessment of detection performance as a function of scene characteristics for single, dual and fully polarimetric radars. Receiver operator curves are generated for modeled scenarios using measured polarimetric backscatter and estimates of ATI coherency. For the scenarios considered, the application of the log likelihood approach provides a significant reduction in false alarm rate compared to ATI phase detection and performance improves with the inclusion of additional polarimetric channels.
  • Keywords
    object detection; radar interferometry; radar polarimetry; remote sensing by radar; surveillance; synthetic aperture radar; along track interferometry; log likelihood framework; maritime surveillance applications; polarimetric ATI slow target detection; receiver operator curves; slow moving target detection; synthetic aperture radar; Backscatter; Clutter; Covariance matrices; Noise; Radar tracking; Sea measurements; Synthetic aperture radar; Along Track Interferometry; Maritime Surveillance; Polarimetric SAR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723498
  • Filename
    6723498