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Proceedings Paper

IRES: an expert system for automatic target recognition from short-distance infrared images
Author(s): Michel de Mathelin; Christiaan Perneel; Marc P. J. Acheroy
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Paper Abstract

This paper presents an expert system for target recognition from short distance infrared images. This expert system first identifies the position and orientation of the target. The number of possible positions and orientations is extremely large, therefore, the solution space cannot be fully explored. A heuristic search algorithm is used instead to guide the expert system toward the solution in an efficient manner. Bayesian estimation theory and fuzzy logics are used to derive the knowledge combination rules used by the heuristic search algorithm. These rules are generic enough to be applied to other types of expert systems and to data fusion problems. Once the position and the orientation of the target have been found, the expert system simply tries to match parts of the image of the target with templates under the same position and orientation in order to identify the target.

Paper Details

Date Published: 20 October 1993
PDF: 17 pages
Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); doi: 10.1117/12.161426
Show Author Affiliations
Michel de Mathelin, Carnegie Mellon Univ. (France)
Christiaan Perneel, Royal Military Academy (Belgium)
Marc P. J. Acheroy, Royal Military Academy (Belgium)

Published in SPIE Proceedings Vol. 1957:
Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition
Lynn E. Garn; Lynda Ledford Graceffo, Editor(s)

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