Neural network ATR indexing system

Allen Gee; David M. Doria; James D. Leonard Jr.

doi:10.1117/12.152542

2 September 1993 Neural network ATR indexing system

Allen Gee, David M. Doria, James D. Leonard Jr.

Proceedings Volume 1965, Applications of Artificial Neural Networks IV; (1993) https://doi.org/10.1117/12.152542
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

We have developed a novel neural network based automatic target recognition (ATR) indexing system. This system utilizes regularization edge detection, adaptive vector quantization (AVQ) clustering, model driven feedback, and backpropagation trained networks. It can be designed to be invariant to either translation, or translation and rotation. The system incorporates both top-down and bottom-up processing to suppress background clutter.

Citation Download Citation

Allen Gee, David M. Doria, and James D. Leonard Jr. "Neural network ATR indexing system", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152542

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