• DocumentCode
    2700243
  • Title

    Prescreening algorithm assessment within the analysts´ detection support system

  • Author

    Blucher, Guy ; Blacknell, David ; Redding, Nicholas J. ; Vagg, Danny

  • Author_Institution
    ISR Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • fYear
    2003
  • fDate
    3-5 Sept. 2003
  • Firstpage
    454
  • Lastpage
    459
  • Abstract
    This analysts´ detection support system (ADSS) contains a suite of target detection algorithms for wide area aerial surveillance using synthetic aperture radar (SAR) imagery. The ADSS provides a framework to combine the operation of these algorithms in user-specified configurations. This paper compares and contrasts the performance of the various prescreening algorithms singly and in combination within the ADSS framework on a broad range of SAR imagery. The algorithms include adaptive threshold, K-distributed CFAR, average grey absolute difference magnitude map, and segmenting K-distributed CFAR. The performance of these algorithms is compared on polarimetric imagery to assess the contribution of polarimetry to target detection.
  • Keywords
    image recognition; radar detection; radar imaging; search radar; synthetic aperture radar; ADSS; K-distributed CFAR; SAR imagery; adaptive threshold; average grey absolute difference magnitude map; image analyst detection support system; polarimetric imagery; prescreening algorithm; segmenting K-distributed CFAR; synthetic aperture radar; target detection; wide area aerial surveillance; Algorithm design and analysis; Australia; Image analysis; Image segmentation; Leg; Military computing; Object detection; Radar detection; Surveillance; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2003. Proceedings of the International
  • Print_ISBN
    0-7803-7870-9
  • Type

    conf

  • DOI
    10.1109/RADAR.2003.1278785
  • Filename
    1278785