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

Detection of object boundaries in synthetic aperture radar imagery using a human visual model

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

1 Author(s)
Bovik, A.C. ; University of Texas, Austin, TX, USA

We consider the problem of automatically detecting sustained intensity changes, corresponding to object boundaries, in SAR imagery. The problem is complicated by the speckle noise found in SAR imagery, which is highly correlated and signal-dependent. In this paper, we analyze the efficacy of applying to this problem recently developed models for visual edge detection, in particular, the Marr-Hildreth Laplacian-of-a-Gaussian operator.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.  (Volume:11 )

Date of Conference:

Apr 1986

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.