• DocumentCode
    397666
  • Title

    Small target detection using enhanced SAR images

  • Author

    Zhang, Jingxin ; Schroeder, Jim ; Redding, Nicholas J.

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
  • Volume
    1
  • fYear
    2003
  • fDate
    5-8 Oct. 2003
  • Firstpage
    1001
  • Abstract
    This paper investigates the impact of SAR image enhancement on the performance of small target detection in SAR images. Three SAR image enhancement algorithms are evaluated on large SAR image data-sets. The evaluation results show that image enhancement can greatly improve the performance of false alarm mitigation, and that the level of performance improvement is correlated with the resolution and background suppression of the enhanced images. The higher the resolution and the level of background suppression, the higher the level of performance improvement.
  • Keywords
    image enhancement; image resolution; radar imaging; radar resolution; radar target recognition; synthetic aperture radar; SAR images; background suppression; false alarm mitigation; image data sets; image enhancement algorithms; resolution; small target detection; synthetic aperture radar images; History; Image enhancement; Image generation; Image resolution; Layout; Object detection; Signal resolution; Speckle; Synthetic aperture radar; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2003. IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7952-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2003.1243945
  • Filename
    1243945