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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
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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
  1. Johannes R. Sveinsson and Jon Atli Benediktsson, "Speckle Reduction and Enhancement of SAR Images in the Wavelet Domain", IEEE, vol. 1, pp. 63-66, 1996.
  2. Fabrizio Argenti and Luciano Alparone, "Speckle Removal From SAR Images in the Undecimated Wavelet Domain", IEEE Transactions On Geoscience And Remote Sensing, Vol. 40, No. 11, pp. 2363-2374, 2002.
  3. Alin Achim, Panagiotis Tsakalides, and Anastasios Bezerianos, "SAR Image Denoising via Bayesian Wavelet shrinkage base on heavy tailed modelling", IEEE Transactions On Geoscience And Remote Sensing, Vol. 41, No. 8, pp. 1773-1784, 2003.
  4. Johannes R. Sveinsson and Jon Atli Benediktsson, "Almost Translation Invariant Wavelet Transformations for Speckle Reduction of SAR Images", IEEE Transactions On Geoscience And Remote Sensing, Vol. 41, No. 10, pp. 2404-2408, 2003.
  5. Min Dai, Cheng Peng, Andrew K. Chan and Dmitri Loguinov, "Bayesian Wavelet Shrinkage With Edge Detection for SAR Image Despeckling", IEEE Transactions On Geoscience And Remote Sensing, Vol. 42, No. 8, pp. 1642-1648, 2004.
  6. Dušan Gleich and Mihai Datcu, "Wavelet-Based Despeckling of SAR Images Using Gauss-Markov Random Fields", IEEE Transactions On Geoscience And Remote Sensing, Vol. 45, No. 12, pp. 4127-4143, 2007.
  7. Johannes R. Sveinsson, Magnus Orn Ulfarsson and Jon Atli Benediktsson, "Speckle Reduction Of SAR Images Using Sure-Based Adaptive Sigmoid Thresholding In The Wavelet Domain", in proceedings of Geoscience and Remote Sensing Symposium, pp. IV-462 - IV-465.
  8. Chun-Lin, Liu, "A Tutorial of the Wavelet Transform", February 23, 2010
  9. V. Senthil, R. Bhaskaran, "Robustness Analysis of Blind and Non-Blind Multiple Watermarking using Edge Detection and Wavelet Transforms", in proceedings of 16th International Conference on Advanced Computing and Communications, pp. 106-111, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Despeckling Adaptive Sigmoid Thresholding Sar Image Enhancement Wavelet Decomposition Gaussian Filter

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