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

An adaptive approach to reducing registration noise effects in unsupervised change detection

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

2 Author(s)
Bruzzone, L. ; Dept. of Inf. & Commun. Technol., Trento Univ., Italy ; Cossu, R.

In this paper, an approach to reducing the effects of registration noise in unsupervised change detection is proposed. The approach is formulated in the framework of the change vector analysis (CVA) technique. It is composed of two main phases. The first phase aims at estimating in an adaptive way (given the specific pair of images considered) the registration-noise distribution in the magnitude-direction domain of the difference vectors. The second phase exploits the estimated distribution to define an effective decision strategy to be applied to the difference image. Such a strategy allows one to perform change detection by significantly reducing the effects of registration noise. Experimental results obtained on simulated and real multitemporal datasets confirm the effectiveness of the proposed approach.

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:41 ,  Issue: 11 )

Date of Publication:

Nov. 2003

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.