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

The boosting algorithm with application to polarimetric SAR image classification

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)
Xiaoli She ; Tsinghua Univ., Beijing ; Jian Yang ; Weijie Zhang

The boosting algorithm is a powerful tool to combine a set of classifiers for improving classification performance. There are two issues to be considered for classification in polarimetric SAR image analysis: (1) how to choose the measurement with discriminability on various categories with different scattering characteristics; (2) how to combine the classifier sets with minimum loss of performance. For solving both the problems, the authors propose a supervised classification method. Firstly, the result of the optimization of polarimetric contrast enhancement (OPCE) is employed as the distance measurement. Then the measurement is translated to a confidence rate, which describes the decision of a "weak" classifier on a refined scale. These classifiers are generated and combined to a powerful classifier under the boosting framework. This proposed method takes advantages of both the specific characteristics of polarimetric SAR image and of the powerful machine learning algorithm. Using polarimetric SAR image, the authors demonstrate the effectiveness of the proposed method.

Published in:

Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on

Date of Conference:

5-9 Nov. 2007

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.