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IRF Analysis Considering Clutter Background for SAR Image Qualification
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 Title & Authors
IRF Analysis Considering Clutter Background for SAR Image Qualification
Jung, Chul-H.; Oh, Tae-B.; Song, Sun-H.; Kwag, Young-K.;
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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.
SAR image quality;IRF;PSLR;SCR;Clutter background;
 Cited by
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C. H. Jung. J. H. Jung, T. B. on. and Y. K. Kwag, "SAR image quality assessment in the real clutter environment", Proc. of EUSAR conference, Friedrichshafen. Germany. June 2008.