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Feature preserving speckle filtering of the SAR images by wavelet transform

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dc.contributor.author Gupta, Rajiv
dc.contributor.author Gupta, Karunesh K
dc.date.accessioned 2021-11-27T04:20:18Z
dc.date.available 2021-11-27T04:20:18Z
dc.date.issued 2008-07-10
dc.identifier.uri https://link.springer.com/article/10.1007/s12524-008-0005-3
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3722
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Civil Engineering en_US
dc.subject SAR images en_US
dc.subject Wavelet Transform en_US
dc.subject EEE en_US
dc.title Feature preserving speckle filtering of the SAR images by wavelet transform en_US
dc.type Article en_US


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