• DocumentCode
    1898287
  • Title

    A region based target detection method for SAR images

  • Author

    Nar, Fatih ; Demirkesen, Can ; Okman, Osman Erman ; Çetin, Müjdat

  • Author_Institution
    Uzay ve Savunma Teknolojileri (SDT), Ankara, Turkey
  • fYear
    2011
  • fDate
    20-22 April 2011
  • Firstpage
    809
  • Lastpage
    812
  • Abstract
    Automatic target detection methods for synthetic aperture radar (SAR) images are sensitive to image resolution, size of the target to be detected, clutter complexity, and speckle noise level. A robust automatic target detection method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based automatic target detection method which can find a target and its heterogeneous clutter independent of the image resolution and the target size has been developed. The proposed method provides efficient memory usage and low computational complexity.
  • Keywords
    computational complexity; image resolution; object detection; radar clutter; radar imaging; synthetic aperture radar; CFAR; SAR images; automatic target detection methods; clutter complexity; computational complexity; constant false alarm rate; heterogeneous clutter; image resolution; region-based target detection method; speckle noise level; synthetic aperture radar images; Clutter; Conferences; Object detection; Radar imaging; Signal processing; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4577-0462-8
  • Electronic_ISBN
    978-1-4577-0461-1
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929774
  • Filename
    5929774