By Topic

The Inclusion of Correlation Effects in the Performance of Multiple Sensor and Classifier Systems

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)
Schubert, C.M. ; Graduate Sch. of Eng. & Manage., Air Force Inst. of Technol., Wright-Patterson AFB, OH ; Oxley, M.E. ; Bauer, K.W.

Classifiers from automatic target recognition systems to be fused are usually assumed to be independent. Some authors have investigated the level of covariance among the classifiers. However, much work still needs to be done to incorporate these correlation/covariance effects into the fused systems and thus its performance measures. In this paper we (1) examine and develop an expression for the covariance, and thus the correlation within the multiple sensor/classifier system, (2) to demonstrate that correlation affects the performance of the fused system. We observe that the best performance occurs when the correlation values vary

Published in:

Aerospace Conference, 2005 IEEE

Date of Conference:

5-12 March 2005