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