Share Email Print

Proceedings Paper

An Approach To Coordinated Uncertainty Management In Automatic Target Recognition
Author(s): Advait Mogre; Robert McLaren
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The Automatic Target Recognition (ATIR) problem generally involves the acquisition, digitization and processing of video/IR signals from a given scene, in which the "targets" of interest are to be identified. There has been, up to date, no single effective procedure to handle a wide class of targets acquired by different sensors under different conditions. There has been, however, increasing success in decision making under uncertainty, using a rule based approach. In this paper, the need to appropriately model the types of uncertainties inherent in the decision process, and the need to compensate for disparate evidence sources is emphasized. Along with this, a systematic approach towards uncertainty management within the ATR problem domain is presented.

Paper Details

Date Published: 1 March 1990
PDF: 8 pages
Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969778
Show Author Affiliations
Advait Mogre, University of Missouri-Columbia (United States)
Robert McLaren, University of Missouri-Columbia (United States)

Published in SPIE Proceedings Vol. 1192:
Intelligent Robots and Computer Vision VIII: Algorithms and Techniques
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top