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research-article

Undecimated wavelet based speckle reduction for SAR images

Authors:

V. SadasivamAuthors Info & Claims

Pattern Recognition Letters, Volume 26, Issue 6

Pages 793 - 800

https://doi.org/10.1016/j.patrec.2004.09.034

Published: 01 May 2005 Publication History

Abstract

Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. This paper proposes a novel filtering method for removing such speckle noise from Synthetic Aperture Radar image, that combines the Stationary Wavelet Transform (SWT) with a mean based smoothing operation, which adapts to variation in both signal and the noise. Experimental results on several test images by using the proposed method show that, the proposed method yields significantly superior image quality and better Peak Signal to Noise Ratio (PSNR). In order to illustrate the effectiveness of the proposed algorithm this method is compared with other wavelet based thresholding techniques and conventional statistical filters.

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Cited By

Li YYang JSun LZhang Y(2006)SAR speckle reduction based on undecimated tree-structured wavelet transformProceedings of the Second international conference on Advances in Natural Computation - Volume Part II10.1007/11881223_88(706-709)Online publication date: 24-Sep-2006
https://dl.acm.org/doi/10.1007/11881223_88

Index Terms

Undecimated wavelet based speckle reduction for SAR images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation

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Published In

cover image Pattern Recognition Letters

Pattern Recognition Letters Volume 26, Issue 6

1 May 2005

164 pages

ISSN:0167-8655

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Copyright © Elsevier B.V.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 May 2005

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Cited By

Li YYang JSun LZhang Y(2006)SAR speckle reduction based on undecimated tree-structured wavelet transformProceedings of the Second international conference on Advances in Natural Computation - Volume Part II10.1007/11881223_88(706-709)Online publication date: 24-Sep-2006
https://dl.acm.org/doi/10.1007/11881223_88

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