Abstract
The quality of synthetic aperture radar (SAR) images generally suffers from speckle noise, which damages the radiometric resolution of SAR images. A new speckle reduction method is proposed by thresholding the speckled SAR image coefficients in the Shear let transform domain. As a powerful multiscale image representation tool, Shear let tranform enables better preservation of significant detail information in despeckled results. Compared with the wavelet transform, Shear let transform is more suitable for image restoration applications where detail preservation is highly demanding. Experimental results on real X-band amplitude and intensity SAR images demonstrate the efficacy of the proposed method. A quantitative analysis is also given to show the superiority of the Shear let-based thresholding method over the translation-invariant wavelet-based counterpart.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
