Cart (Loading....) | Create Account
Close category search window

A Novel Filtering Algorithm for SAR Image Based on Self Adaptive Correction of Penalty Coefficient

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zhen-Song Wang ; Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol., Chengdu ; Xiao-Yun Liu ; Wu-Fan Chen ; Xiao-Wen Li

Speckle noise is much serious in SAR (synthetic aperture radar) image. It will seriously affect the information extraction of terra and object and the application of SAR image. A novel filtering algorithm for speckle noise in SAR image is presented here. This algorithm is based on an iterative filter that based on a membrane model Markov random field approximation optimized by a synchronous local iterative method (TSPR). With this algorithm, the affect of the energy function by neighbors' spatial relation is taken into account. By self adaptive correcting the penalty coefficient in iteration process better filtering effect can be acquired. According to the comparing experiments about faded image by speckle noise of various intensities, with the algorithm presented here we can get restored image with higher signal noise ratio (SNR) than TSPR

Published in:

Machine Learning and Cybernetics, 2006 International Conference on

Date of Conference:

13-16 Aug. 2006

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.