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A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling

Published on February 2013 by Amlan Jyoti Das, Anjan Kumar Talukdar, Kandarpa Kumar Sarma
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Mobile and Embedded Technology International Conference 2013
Foundation of Computer Science USA
MECON - Number 1
February 2013
Authors: Amlan Jyoti Das, Anjan Kumar Talukdar, Kandarpa Kumar Sarma
a20c0428-31de-4478-9750-6024fe6a1a59

Amlan Jyoti Das, Anjan Kumar Talukdar, Kandarpa Kumar Sarma . A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling. Mobile and Embedded Technology International Conference 2013. MECON, 1 (February 2013), 13-19.

@article{
author = { Amlan Jyoti Das, Anjan Kumar Talukdar, Kandarpa Kumar Sarma },
title = { A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling },
journal = { Mobile and Embedded Technology International Conference 2013 },
issue_date = { February 2013 },
volume = { MECON },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 13-19 },
numpages = 7,
url = { /proceedings/mecon/number1/10788-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Mobile and Embedded Technology International Conference 2013
%A Amlan Jyoti Das
%A Anjan Kumar Talukdar
%A Kandarpa Kumar Sarma
%T A Novel Adaptive Stationary Wavelet-based Technique for SAR Image Despeckling
%J Mobile and Embedded Technology International Conference 2013
%@ 0975-8887
%V MECON
%N 1
%P 13-19
%D 2013
%I International Journal of Computer Applications
Abstract

In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. A MAP Estimator is designed for this purpose which uses Rayleigh distribution for modeling the speckle noise and Laplacian distribution for modeling the statistics of the noise free wavelet coefficients. The parameters required for MAP estimator is determined by technique used for parameter estimation after SWT. The experimental results show that the proposed despeckling algorithm efficiently removes speckle noise from the SAR images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Synthetic Aperture Radar (sar) Despeckling Stationary Wavelet Transform (swt) Maximum A Posteriori Probability (map) Estimator