Wavelet-based SAR images despeckling using joint hidden Markov model

Qiaoliang Li; Guoyou Wang; Jianguo Liu; Shaobo Chen

doi:10.1117/12.749034

15 November 2007 Wavelet-based SAR images despeckling using joint hidden Markov model

Qiaoliang Li, Guoyou Wang, Jianguo Liu, Shaobo Chen

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678710 (2007) https://doi.org/10.1117/12.749034
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

In the past few years, wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet coefficients of real-world data. One potential drawback to the HMT framework is the deficiency for taking account of intrascale correlations that exist among neighboring wavelet coefficients. In this paper, we propose to develop a joint hidden Markov model by fusing the wavelet Bayesian denoising technique with an image regularization procedure based on HMT and Markov random field (MRF). The Expectation Maximization algorithm is used to estimate hyperparameters and specify the mixture model. The noise-free wavelet coefficients are finally estimated by a shrinkage function based on local weighted averaging of the Bayesian estimator. It is shown that the joint method outperforms lee filter and standard HMT techniques in terms of the integrative measure of the equivalent number of looks (ENL) and Pratt's figure of merit(FOM), especially when dealing with speckle noise in large variance.

Citation Download Citation

Qiaoliang Li, Guoyou Wang, Jianguo Liu, and Shaobo Chen "Wavelet-based SAR images despeckling using joint hidden Markov model", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678710 (15 November 2007); https://doi.org/10.1117/12.749034

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Wavelets

Speckle

Synthetic aperture radar

Denoising

Expectation maximization algorithms

Statistical modeling

Silicon

Show All Keywords

Keywords/Phrases

Search In:

Publication Years