DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/3722
Title: Feature preserving speckle filtering of the SAR images by wavelet transform
Authors: Gupta, Rajiv
Gupta, Karunesh K
Keywords: Civil Engineering
SAR images
Wavelet Transform
EEE
Issue Date: 10-Jul-2008
Publisher: Springer
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.
URI: https://link.springer.com/article/10.1007/s12524-008-0005-3
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3722
Appears in Collections:Department of Civil Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.