A Context Dependent Automatic Target Recognition System

J. H. Kim; D. W. Payton; K. E. Olin; D. Y. Tseng

doi:10.1117/12.943159

14 June 1984 A Context Dependent Automatic Target Recognition System

J. H. Kim, D. W. Payton, K. E. Olin, D. Y. Tseng

Proceedings Volume 0485, Applications of Artificial Intelligence I; (1984) https://doi.org/10.1117/12.943159
Event: 1984 Technical Symposium East, 1984, Arlington, United States

Abstract

This paper describes a new approach to automatic target recognizer (ATR) development utilizing artificial intelligent techniques. The ATR system exploits contextual information in its detection and classification processes to provide a high degree of robustness and adaptability. In the system, knowledge about domain objects and their contextual relationships is encoded in frames, separating it from low level image processing algorithms. This knowledge-based system demonstrates an improvement over the conventional statistical approach through the exploitation of diverse forms of knowledge in its decision-making process.

Citation Download Citation

J. H. Kim, D. W. Payton, K. E. Olin, and D. Y. Tseng "A Context Dependent Automatic Target Recognition System", Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); https://doi.org/10.1117/12.943159

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

Includes PDF, HTML & Video, when available