• DocumentCode
    1608930
  • Title

    IRF analysis considering clutter background for high resolution SAR image qualification

  • Author

    Jung, Chul H. ; Oh, Tae B. ; Song, Sun H. ; Kwag, Young K.

  • Author_Institution
    Dept. of Avionics, Korea Aerosp. Univ., Seoul
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new IRF (Impulse Response Function) analysis technique in high resolution SAR image is presented by taking into account the real clutter environment. In order to investigate the realistic effect of clutter background on the impulse response function of SAR image, an ideally generated impulse response function is superimposed with a large number of background clutter data which are extracted from the various regions of an actual SAR image. As a performance measure, PSLR (Peak Sidelobe Ratio) of the clutter-contained IRF is presented in the various groups of clutter background, and finally the results are compared with the stochastic model.
  • Keywords
    clutter; radar imaging; stochastic processes; synthetic aperture radar; clutter background; high resolution SAR image qualification; impulse response function analysis; peak sidelobe ratio; stochastic model; Clutter; Data mining; Image analysis; Image quality; Image resolution; Performance analysis; Qualifications; Stochastic processes; System testing; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2009 IEEE
  • Conference_Location
    Pasadena, CA
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-2870-0
  • Electronic_ISBN
    1097-5659
  • Type

    conf

  • DOI
    10.1109/RADAR.2009.4977051
  • Filename
    4977051