• DocumentCode
    189751
  • Title

    Combined textural-dependent despeckling in SAR images

  • Author

    Bekhtin, Yury S. ; Malebo, Damiao P.

  • Author_Institution
    Department of automatics and information technologies in control Ryazan State Radio Engineering University Rvazan, Russia
  • fYear
    2014
  • fDate
    15-19 June 2014
  • Firstpage
    131
  • Lastpage
    134
  • Abstract
    The suggested method is aimed to be realized in different on-board embedded systems for images obtained by synthetic aperture radar (SAR) and featured with the problem of speckle. The conducted analysis of real SAR images has shown that the statistical properties of speckle strongly depend on the texture of the irradiated surface. The main idea of the method is to select the optimum despeckling algorithms from the recommended database of the algorithms using texture analysis and apply the selected algorithms to various segments of SAR images having different variances and probability density functions of speckle. The results of modeling have shown the advantage of the combined filtering in comparing with some famous despeckling procedures under criteria such as PSNR, SSIM, etc.
  • Keywords
    Filtering; Image segmentation; Speckle; Synthetic aperture radar; Wavelet transforms; Wiener filters; SAR image processing; combined filtering; speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
  • Conference_Location
    Budva, Montenegro
  • Print_ISBN
    978-1-4799-4827-7
  • Type

    conf

  • DOI
    10.1109/MECO.2014.6862675
  • Filename
    6862675