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Proceedings Paper

Target selection using neural networks
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Paper Abstract

Target selection is the task of assigning a value or priority to various targets in a scenario. This priority is usually determined by the threat the target poses on the defender in addition to its vulnerability to possible measures to be taken by the defender. In this study, we describe a target selection technique based on neural networks. The utility or value of each target is assumed to be an unknown function acting on certain features of the target such as size, intensity, speed and direction of movement. Neural networks used in the context of function estimation is a viable candidate for determining this unknown function for generating target priorities. Various neural network configurations are examined and simulation results are presented.

Paper Details

Date Published: 7 August 2002
PDF: 12 pages
Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); doi: 10.1117/12.478537
Show Author Affiliations
M. Serhat Ozener, Middle East Technical Univ. (Turkey)
Yasemin C. Yardimci, Middle East Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 4728:
Signal and Data Processing of Small Targets 2002
Oliver E. Drummond, Editor(s)

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