• DocumentCode
    1853834
  • Title

    A whitening method for the despeckling of SAR images affected by correlated speckle noise

  • Author

    Lapini, Alessandro ; Bianchi, Tiziano ; Argenti, Fabrizio ; Alparone, Luciano

  • Author_Institution
    Dipt. di Elettron. e Telecomun., Univ. of Florence, Florence, Italy
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    2487
  • Lastpage
    2491
  • Abstract
    In the last decade, several methods have been developed for the despeckling of Synthetically Aperture Radar (SAR) images. A considerable number of them have been derived on the assumption of the fully-developed speckle model in which the multiplicative speckle noise is supposed to be a white process. Unfortunately, the transfer function of SAR acquisition systems can introduce a statistical correlation which decreases the despeckling efficiency of such filters. In this work, a method for whitening a complex image acquired by a SAR system is proposed. By using the statistical properties of the acquired image the estimation of the SAR system frequency response is performed by means of some realistic assumptions; then a decorrelation process is applied on the acquired image, taking into account the presence of point targets. Finally, the image is despeckled. The experimental results show that the despeckling filters achieve better performance when they are preceded by the proposed whitening method; moreover, the radiometric characteristics of the image are preserved.
  • Keywords
    filtering theory; image denoising; radar imaging; radiometry; statistical analysis; synthetic aperture radar; SAR acquisition systems; SAR images; correlated speckle noise; despeckling filters; fully-developed speckle model; image acquisition; radiometric characteristics; statistical properties; synthetically aperture radar images; whitening method; Estimation; PSNR; Radar imaging; Speckle; Synthetic aperture radar; COSMO-SkyMed; Despeckling; SAR images; correlated speckle noise; whitening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334140