Speckle Reduction Approach for SAR Image in Satellite Communication

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 le...

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Bibliographic Details
Published in:International journal of machine learning and computing 2012-02, Vol.2 (1), p.62-71
Main Authors: Masoomi, Ashkan, Hamzehyan, Roozbeh, Shirazi, Najmeh Cheraghi
Format: Article
Language:English
Subjects:
Decomposition
Gaussian
Low pass filters
Reduction
Satellite communications
Synthetic aperture radar
Wavelet
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Summary: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.
ISSN:2010-3700
2010-3700
DOI:10.7763/IJMLC.2012.V2.90