DocumentCode :
189751
Title :
Combined textural-dependent despeckling in SAR images
Author :
Bekhtin, Yury S. ; Malebo, Damiao P.
Author_Institution :
Department of automatics and information technologies in control Ryazan State Radio Engineering University Rvazan, Russia
fYear :
2014
fDate :
15-19 June 2014
Firstpage :
131
Lastpage :
134
Abstract :
The suggested method is aimed to be realized in different on-board embedded systems for images obtained by synthetic aperture radar (SAR) and featured with the problem of speckle. The conducted analysis of real SAR images has shown that the statistical properties of speckle strongly depend on the texture of the irradiated surface. The main idea of the method is to select the optimum despeckling algorithms from the recommended database of the algorithms using texture analysis and apply the selected algorithms to various segments of SAR images having different variances and probability density functions of speckle. The results of modeling have shown the advantage of the combined filtering in comparing with some famous despeckling procedures under criteria such as PSNR, SSIM, etc.
Keywords :
Filtering; Image segmentation; Speckle; Synthetic aperture radar; Wavelet transforms; Wiener filters; SAR image processing; combined filtering; speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2014 3rd Mediterranean Conference on
Conference_Location :
Budva, Montenegro
Print_ISBN :
978-1-4799-4827-7
Type :
conf
DOI :
10.1109/MECO.2014.6862675
Filename :
6862675
Link To Document :
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