doi: 10.7763/IJMLC.2012.V2.90
Speckle Reduction Approach for SAR Image in Satellite Communication
Ashkan Masoomi1
,
Roozbeh Hamzehyan2 ,
Najmeh Cheraghi Shirazi3
- 1Communication Engineering Department of Islamic Azad University, Ahram Branch, Iran.
- 2Communication Engineering Department of Islamic Azad University, Boushehr Branch, Iran.
- 3Electrical Engineering Department of Islamic Azad University, Boushehr Branch, Iran.
Abstract
This paper represents a novel approach to improve de-speckling in SAR images. At firstl, Smoothing of the coefficients of the highest wavelet sub-bands is applied on decomposed wavelet coefficients. A Gaussian low pass filter using a tours algorithm has been used to decompose the image. Then, the learning of a Kohonen self organizing map (SOM) is performed directly on the de-noised image to take out the blur. Traditional speckle reduction approaches cause artificial structures, blurred and smoothed image, although intelligent de-blurring technique captured these problems. Quantitative and qualitative comparisons of the results obtained by the new method with the results achieved from the other speckle noise reduction techniques demonstrate its higher performance for speckle reduction in SAR images.
Keywords
- Directional smoothing
- de-blurring
- de-noising
- wavelets
How to Cite
Ashkan Masoomi, Roozbeh Hamzehyan, and Najmeh Cheraghi Shirazi, "Speckle Reduction Approach for SAR Image in Satellite Communication," International Journal of Machine Learning, vol. 2, no. 1, pp. 62-71, 2012. https://doi.org/10.7763/IJMLC.2012.V2.90
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).