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Proceedings Paper

Application of a neural network model to sensor data fusion
Author(s): Gary Whittington; C. Tim Spracklen
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Paper Abstract

This paper describes the application of a neural network model the Kohonen Feature Map to tactical and sensor data fusion. The problems presented by data fusion are reviewed with illustrations taken from the modern naval environment. The tasks of target and task identification for both automated surveillance and support tasks for naval operatives are highlighted as potential application domains for neural network based systems. The Kohonen Feature Map model is reviewed its limitations for practical applications examined and a discussion of how to overcome these problems is provided. Two alternative modular network architectures which use the Kohonen Feature Map as the basic unit are then described and their application to data fusion contrasted. 1.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21179
Show Author Affiliations
Gary Whittington, Univ. of Aberdeen (United Kingdom)
C. Tim Spracklen, Univ. of Aberdeen (United Kingdom)


Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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