Feature preserving speckle filtering of the SAR images by wavelet transform |
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Authors: | Karunesh K Gupta Rajiv Gupta |
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Institution: | (1) College of Applied Medical Sciences, Department of Biomedical Technology, King Saud University, P.O. Box 10219, Riyadh, 11433, Kingdom of Saudi Arabia |
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Abstract: | Synthetic Aperture Radar (SAR) images are corrupted by speckle noise due to random interference of electromagnetic waves.
The speckle degrades the quality of the image and makes it difficult to interpret, analyse and classify. This paper proposes
a method that reduces the speckle and preserves the features by using scale-space correlation between the scales. The results
show that the proposed method is better than the widely used filters based on the spatial domain, such as Lee, Kuan, Frost,
Ehfrost, Median, Gamma filters in terms of feature preservation. Moreover the proposed method achieves a wide range of balances
between speckle reduction and feature preservation, and thus is applicable in different applications such as road detection,
detection/ identification of bridge, and ribbon like structures. Furthermore, the proposed method does not require prior modeling
of either the image or noise statistics. It uses the variance of the detail wavelets coefficients to estimate noise variance. |
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Keywords: | |
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