Characterization of disagreement in multiplatform and multisensor fusion analysis

Harley R. Myler

doi:10.1117/12.395074

4 August 2000 Characterization of disagreement in multiplatform and multisensor fusion analysis

Harley R. Myler

Author Affiliations +

Proceedings Volume 4052, Signal Processing, Sensor Fusion, and Target Recognition IX; (2000) https://doi.org/10.1117/12.395074
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

An interesting problem arises in multi platform-multisensor information fusion system when sources disagree on the classification or identity of an unknown entity. If there is disagreement, the ideal situation ins a high level of confidence form a single source with complete disagreement in the remaining sources. This is not always the case and situations may arise where the winner is only successful by a small margin and there is collective disagreement amongst the losing sources. This paper describes a new terminology, disfusion, which is used for the characterization of disagreement between information sources and can enhance the final conclusion of a fusion system.

Citation Download Citation

Harley R. Myler "Characterization of disagreement in multiplatform and multisensor fusion analysis", Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); https://doi.org/10.1117/12.395074

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE