Computer and Modernization ›› 2011, Vol. 1 ›› Issue (11): 67-3.doi: 10.3969/j.issn.1006-2475.2011.11.018

• 图像处理 • Previous Articles     Next Articles

Bandelet Domain SAR Images Despeckling Based on BayesShrink Softthresholding

XU Ya-nan, WANG Xian-cai   

  1. Dept. of Physical and Mechanical and Electrical Engineering, Chizhou University, Chizhou 247000, China
  • Received:2011-07-14 Revised:1900-01-01 Online:2011-11-28 Published:2011-11-28

Abstract:

Synthetic Aperture Radar (SAR) images are inherently affected by multiplicative speckle noise, which seriously affects the quality of SAR images. This paper presents a despeckling method for SAR images based on adaptive Bandelets thresholding. This threshold is derived in a Bayesian framework named BayesShrink softthresholding, and it is applied to adaptive Bandelets coefficients to achieve more satisfying results. The performances of this proposed scheme and wavelet thresholding for despeckling SAR images are compared through experiment. Experiment results clearly demonstrate the proposed scheme is able to better keep texture and edge character.

Key words: adaptive Bandelet transform, BayesShrink softthresholding, wavelet denoising, SAR images