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Proceedings Paper

Using ontologies and symbolic information in automatic target recognition
Author(s): Mieczyslaw M. Kokar; Jiao Wang
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Paper Abstract

The goal of this paper is to show an approach to target recognition (ATR) that allows for efficient updating of the recognition algorithm of a fusion agent when new symbolic information becomes available. This information may, for instance, provide additional characterization of a known type of target, or supply a description of a new type of target. The new symbolic information can be either posted on a web page or provided by another agent. The sensory information can be obtained from two imaging sensors. In our scenario the fusion agent, after noticing such an event, processes the new symbolic information and incorporates it into its recognition rules. To achieve this goal the fusion agent needs to understand the symbolic information. This capability is achieved through the use of an ontology. Both the fusion agent and the knowledge provider (it may be another software agent or a human annotator) know the ontology, and the web based information is annotated using that ontology. In this paper we describe the approach, provide examples of symbolic target descriptions, describe an ATR scenario, and show some initial results of simulations for the selected scenario. The discussion in this paper shows the advantages of the proposed approach over that in which the recognition algorithm is fixed.

Paper Details

Date Published: 6 March 2002
PDF: 11 pages
Proc. SPIE 4731, Sensor Fusion: Architectures, Algorithms, and Applications VI, (6 March 2002); doi: 10.1117/12.458399
Show Author Affiliations
Mieczyslaw M. Kokar, Northeastern Univ. (United States)
Jiao Wang, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 4731:
Sensor Fusion: Architectures, Algorithms, and Applications VI
Belur V. Dasarathy, Editor(s)

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