• DocumentCode
    3181129
  • Title

    Discrete wavelet transform based despeckling for SAR images

  • Author

    Roomi, S. Md Mansoor ; Kalaiyarasi, D. ; Rangan, N. Kasturi

  • Author_Institution
    Thiagarajar Coll. of Eng., Madurai, India
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    373
  • Lastpage
    378
  • Abstract
    Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. To preserve the sharp features and details of the SAR image effectively when despeckling, a new method of speckle reduction in wavelet domain has been presented. In this proposed method `symlet´ wavelet is used for despeckling process. This proposed algorithm uses new improved thresholding and polynomial soft thresholding function to threshold the non-edge component present in the corrupted image. The proposed work has been simulated using Matlab 7.0 and the experimental results demonstrate that the new method shows better result compared with various other despeckling techniques.
  • Keywords
    discrete wavelet transforms; feature extraction; image denoising; image segmentation; interference suppression; radar imaging; speckle; synthetic aperture radar; Matlab 7.0; SAR images; despeckling process; discrete wavelet transform; feature extraction; image thresholding; polynomial soft thresholding function; scattering phenomena; speckle noise; symlet wavelet; synthetic aperture radar; Filtering algorithms; Image edge detection; Noise; Speckle; Wavelet transforms; Wiener filter; SAR images; Soft thresholding; Speckle noise; Symlet; Thresholding techniques; Wavelet; speckle filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies (WICT), 2011 World Congress on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4673-0127-5
  • Type

    conf

  • DOI
    10.1109/WICT.2011.6141275
  • Filename
    6141275