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

An enhancing normalized radon transform method for ship wake detection in SAR imagery

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 $31
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

6 Author(s)
Xiangwei Xing ; National University of Defense Technology, China ; Kefeng Ji ; Huanxin Zou ; Jixiang Sun
more authors

Radon transform has been validated as an effective ship wake detection method. Considered on the impact of speckle noises, this paper proposes an enhancing normalized radon transform method to detect ship wakes in SAR imagery. The improved method enhances dark wakes firstly, and then radon transformed data is normalized by a normalization matrix. Preliminary results illustrates that the proposed algorithm improves ship wake detection performance in SAR imagery, especially for dark wakes.

Published in:

Synthetic Aperture Radar, 2012. EUSAR. 9th European Conference on

Date of Conference:

23-26 April 2012

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.