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

Internal Wave Detection and Parameter Estimation from SAR Images Based on a Novel Radon Transform Method

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)
Biao Chen ; Navy Submarine Acad., Qingdao ; Jie Chen ; Jiyin Sun

The potential of using satellite imagery for studying oceanic internal waves have long recognized by the oceanographers and remote sensing researchers. A great deal can be learnt about internal waves from satellite data if the grey tone patterns of the Synthetic aperture radar images can be confirmed to correspond to the trough and crest patterns of internal waves. In this paper, a new solution of internal wave detection and parameter estimation in SAR ocean image is presented. It improves the traditional Radon transform through normalize the Radon coefficients in an ellipse region and thus detect the inconspicuous lines in ocean background. Making use of the idea of glide windows we use the proposed transform to detect the internal wave region, and then we can estimate the internal wave parameters, named the wave direction and the wavelength, simply through dealing with the Radon coefficients. The experiment results on simulation and real SAR images shows that the proposed method can detect the internal wave region automatically and correctly, and the parameter estimated is corresponding with the real observation.

Published in:

Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on  (Volume:1 )

Date of Conference:

21-22 Dec. 2008

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.