Share Email Print

Proceedings Paper

Target cuing: a heterogeneous neural network approach
Author(s): Howard M. McCauley
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Autonomous analysis of complex image data is a critical technology in today’s world of expanding automation. The growth of this critical field is slowed by problems in traditional image analysis methods. Traditional methods lack the speed, generality, and robustness that many modern image analysis problems require. While neural networks promise to improve traditional techniques, homogeneous neural network systems have difficulty performing all the diverse analysis required of an autonomous system. This paper proposes a dual-staged, heterogeneous neural network approach to image analysis; specifically, a way to solve the target cuing problem.

Paper Details

Date Published: 1 September 1990
PDF: 9 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24102
Show Author Affiliations
Howard M. McCauley, Naval Weapons Ctr. (United States)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

© SPIE. Terms of Use
Back to Top