Speckle Reduction in SAR Images via Shearlet Transform-based Thresholding
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 thresholoding the speckled SAR image coefficients in the Shearlet transform domain. As a powerful multiscale image representation tool, Shearlet tranform enables significant detail information to be better preseved in despeckled results. Compared with classic wavelet tranfrom, Shearlet tranform is more suitable for image restoration applicatons where detail preservation is highlighted. 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 Shearlet-based thresholding method over the transaltion-invariant Wavelet-based counterpart.
Shearlet transfront SAR image speckle reduction thresholding
Qiang Sun Yong Gao
Department of Electronic EngineeringXian University of Technology Xian,China
国际会议
太原
英文
370-374
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）