SAR images despeckling based on Bayesian estimation and fuzzy shrinkage in wavelet domains

Chinese Journal of Aeronautics

Volumn 19, Issue 4, 2006, Pages 326-333

  Wu, Yan ^a   Wang, Xia ^a   Liao, Gui Sheng ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Bayesian estimation; Fuzzy shrinkage factor; MMSE; Region division; SAR image despeckling; SWT

Indexed keywords

FUZZY SETS; IMAGE ANALYSIS; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS; WAVELET TRANSFORMS;

BAYESIAN ESTIMATION; FUZZY SHRINKAGE FACTOR; MINIMUM MEAN SQUARE ERROR (MMSE); STATIONARY WAVELET TRANSFORM (SWT); STATISTICAL MODELS; WAVELET COEFFICIENTS;

SYNTHETIC APERTURE RADAR;

EID: 33847031411     PISSN: 10009361     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1000-9361(11)60336-1     Document Type: Article

References (17)

1. Ma Z M, Mao S Y. SAR image reconstruction by a thin and weak feature preserving simulated annealing approach[J]. Chinese Journal of Aeronautics,2001,14 (3):147-154.
2. Lee J S. Digital image enhancement and noise filtering by use of local statistics[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1980,2(2):156-163.
3. Kuan D T, Sawchuk A A,Strand T C. Adaptive noise smoothing filter for images with signal-dependent noise[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1985,7(2): 165-177.
4. Kuan D T, Sawchuk A A, Strand T C. Adaptive restoration of images with speckle[J]. IEEE Trans on Acoustics Speech and Signal Processing, 1987,35(3): 373-383
5. Frost V S, Stiles J A, Shanmugan K S, et al. A model for radar images and its application to adaptive digital filtering of multiplicative noisefJ). IEEE Trans on Pattern Analysis and Machine Intelligence, 1982,4(2):157-166.
6. Lopes A, Touzi R, Nezry E. Adaptive speckle filters and scene heterogeneity [J]. IEEE Trans on Geosci Remote Sensing, 1990, 28(11):992-1000.
7. Hagg W, Sites M. Efficient speckle filtering of SAR images[C]// Proceedings of the International Geoscience and Remote Sensing Symposium, 1994:2140-2142.
8. Donoho D L. De-noising by soft-thresholding[J]. IEEE Trans on Information Theory,1995,41(3): 613-627.
9. Argenti F. Speckle removal from SAR images in the undecimated wavelet domain[J], IEEE Trans on Geoscience and Remote Sensing, 2002,40(11): 2363-2374.
10. Nason G P, Silverman B W. The stationary wavelet transform and some statistical applications[R]. BS8 1TW, U.K.: Univ. of Bristol, 1995.
11. Moulin P, Liu J. Analysis of multiresolution image denoising schemes using generalized Gausse and complexity priors[J]. IEEE Trans on Information Theory, 1999,145( ): 1647-1658.
12. Chipman H A, Kolaczyk E D, McCulloch R E. Adaptive Bayesian wavelet shrinkage[J]. J Amer Statist Assoc.1997,92:1413-1421.
13. Redner R A, Walker H F. Mixture densities, maximum likelihood and the EM algorithm[J]. SIAM Rev, 1984,26(2):195-239.
14. Samuel F. Multiscale MAP filtering of SAR images[J]. IEEE Trans on Image Processing, 2001,10(1): 49-60.
15. Thitimajshima P. A simple SAR speckle reduction by wavelet thresholding.[EB/OL].http://www.gisdevelopment.net/aars/acrs/1998/ps1/ps1014pf. htm
16. Hua X. SAR speckle reduction using wavelet denoising and markov random field modeling[J]. IEEE Trans on Geoscience and Remote Sensing, 2002,40(10): 2196-2212.
17. Yongjian Y, Scott T A. Speckle reducing anisotropic difiusion[J]. IEEE Trans on Image Processing, 2002,11(11):1627-1635.