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

Regularized resolution enhancement of point-based features of synthetic aperture radar image using variable quasi-norm

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

3 Author(s)
Guangxin Wang ; Guilin Air Force Acad., Guilin, China ; Hong Luo ; Zhenrong Zhang

Nonquadratic regularization with lp quasi-norm has been widely used as an efficient and powerful tool for resolution enhancement of point-based features of synthetic aperture radar (SAR) images. However, adjustment of the lp quasi-norm usually requires a lot of time and labor. In this paper, we propose a modified model and method for choosing regularization term. Considering the sparseness of scatterers in the scene of a SAR image, we use the generalized Gaussian distributions (GGD) as prior distributions for sampled scattering field. Our regularization model is constructed based on variable lp quasi-norms, and the selection of lp quasi-norm is achieved through estimation of the shape parameter p of the GGD by adopting a moment method. The regularization model leads to an alternating iterative algorithm. Experimental results with simulated and real data show that the method can automatically select regularization term and produce SAR images with improved spatial resolution.

Published in:

Signal Processing Systems (ICSPS), 2010 2nd International Conference on  (Volume:1 )

Date of Conference:

5-7 July 2010

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.