Bayesian wavelet shrinkage with edge detection for SAR image despeckling

Author

Dai, Min ; Peng, Cheng ; Chan, Andrew K. ; Loguinov, Dmitri

Author_Institution

Electr. Eng. Dept., Texas A&M Univ., College Station, TX, USA

Volume

42

Issue

8

fYear

2004

Firstpage

1642

Lastpage

1648

Abstract

In this paper, we present a wavelet-based despeckling method for synthetic aperture radar images and derive a Bayesian wavelet shrinkage factor to estimate noise-free wavelet coefficients. To preserve edges during despeckling, we apply a modified ratio edge detector to the original image and use the obtained edge information in our despeckling framework. Experimental results demonstrate that our method compares favorably to several other despeckling methods on test images.

Keywords

Bayes methods; edge detection; geophysical signal processing; geophysical techniques; image denoising; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; wavelet transforms; Bayesian wavelet shrinkage; MMSE estimation; SAR image despeckling; edge detection; edge information; edge preservation; minimum mean square error; noise-free wavelet coefficients; ratio edge detector; stationary wavelet transform; synthetic aperture radar image; wavelet-based despeckling method; Bayesian methods; Detectors; Discrete wavelet transforms; Filters; Image edge detection; Noise reduction; Radar detection; Wavelet coefficients; Wavelet domain; Wavelet transforms; MMSE; Minimum mean square error; SWT; estimation; ratio edge detector; stationary wavelet transform; wavelet shrinkage;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2004.831231

Filename

1323120