DocumentCode :
3181129
Title :
Discrete wavelet transform based despeckling for SAR images
Author :
Roomi, S. Md Mansoor ; Kalaiyarasi, D. ; Rangan, N. Kasturi
Author_Institution :
Thiagarajar Coll. of Eng., Madurai, India
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
373
Lastpage :
378
Abstract :
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. To preserve the sharp features and details of the SAR image effectively when despeckling, a new method of speckle reduction in wavelet domain has been presented. In this proposed method `symlet´ wavelet is used for despeckling process. This proposed algorithm uses new improved thresholding and polynomial soft thresholding function to threshold the non-edge component present in the corrupted image. The proposed work has been simulated using Matlab 7.0 and the experimental results demonstrate that the new method shows better result compared with various other despeckling techniques.
Keywords :
discrete wavelet transforms; feature extraction; image denoising; image segmentation; interference suppression; radar imaging; speckle; synthetic aperture radar; Matlab 7.0; SAR images; despeckling process; discrete wavelet transform; feature extraction; image thresholding; polynomial soft thresholding function; scattering phenomena; speckle noise; symlet wavelet; synthetic aperture radar; Filtering algorithms; Image edge detection; Noise; Speckle; Wavelet transforms; Wiener filter; SAR images; Soft thresholding; Speckle noise; Symlet; Thresholding techniques; Wavelet; speckle filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2011 World Congress on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4673-0127-5
Type :
conf
DOI :
10.1109/WICT.2011.6141275
Filename :
6141275
Link To Document :
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