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Performance Analysis Survey of Various SAR Image Despeckling Techniques

by A. Rajamani, V. Krishnaveni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 7
Year of Publication: 2014
Authors: A. Rajamani, V. Krishnaveni
10.5120/15584-4254

A. Rajamani, V. Krishnaveni . Performance Analysis Survey of Various SAR Image Despeckling Techniques. International Journal of Computer Applications. 90, 7 ( March 2014), 5-17. DOI=10.5120/15584-4254

@article{ 10.5120/15584-4254,
author = { A. Rajamani, V. Krishnaveni },
title = { Performance Analysis Survey of Various SAR Image Despeckling Techniques },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 7 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number7/15584-4254/ },
doi = { 10.5120/15584-4254 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:25.022664+05:30
%A A. Rajamani
%A V. Krishnaveni
%T Performance Analysis Survey of Various SAR Image Despeckling Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 7
%P 5-17
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Over the past four decades, the Synthetic Aperture Radar (SAR) imagery has become a beneficial and important application over the optical satellite imagery because of its ability to operate in any weather conditions. However, these images are affected with granular noise termed as Speckle noise. This noise affects the overall quality of the image adversely and hence hinders the observation of vital and crucial information present in the image. Thus, it has become essential to remove this speckle noise using suitable techniques. This paper presents the various important techniques available till date for the removal of speckle noise from SAR images and each technique with its own advantages and limitations are described. It also presents qualitative and quantitative measures of various techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Synthetic Aperture Radar imagery Speckle noise Denoising Wavelet Transform

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