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Reseach Article

Speckle Reduction of SAR Images using Adaptive Sigmoid Thresholding and Analysis of various Filtering Techniques

by V. Santhi, Chandra Mouli P.v.s.s.r., Arunkumar Thangavelu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 2
Year of Publication: 2012
Authors: V. Santhi, Chandra Mouli P.v.s.s.r., Arunkumar Thangavelu
10.5120/6878-9094

V. Santhi, Chandra Mouli P.v.s.s.r., Arunkumar Thangavelu . Speckle Reduction of SAR Images using Adaptive Sigmoid Thresholding and Analysis of various Filtering Techniques. International Journal of Computer Applications. 46, 2 ( May 2012), 9-16. DOI=10.5120/6878-9094

@article{ 10.5120/6878-9094,
author = { V. Santhi, Chandra Mouli P.v.s.s.r., Arunkumar Thangavelu },
title = { Speckle Reduction of SAR Images using Adaptive Sigmoid Thresholding and Analysis of various Filtering Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 2 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 9-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number2/6878-9094/ },
doi = { 10.5120/6878-9094 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:41.679788+05:30
%A V. Santhi
%A Chandra Mouli P.v.s.s.r.
%A Arunkumar Thangavelu
%T Speckle Reduction of SAR Images using Adaptive Sigmoid Thresholding and Analysis of various Filtering Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 2
%P 9-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an effective method for speckle reduction and image enhancement for SAR images is proposed. The novelty of the proposed method is the adaptive calculation of parameters with ease in adaptive sigmoid thresholding approach for removing the speckle noise from the SAR images followed by post-processing operation. The noise removal operation is carried out in wavelet domain using db4 wavelet. The experimental results show that the proposed method despeckles the given image efficiently. Filtering is done as post-processing operation. Comparative analysis of various filters has been carried out and the results prove that Gaussian filtering is more appropriate for enhancing the quality of despeckled SAR images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Despeckling Adaptive Sigmoid Thresholding Sar Image Enhancement Wavelet Decomposition Gaussian Filter