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Proceedings Paper

Application of artificial neural networks to ATP functions
Author(s): Marek Elbaum
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Paper Abstract

We discuss the applicability of multi-layer Neural Networks (NN) to automatic target classification in the challenging environment of Acquisition-Tracking-Pointing (ATP) systems. The merits of NN are discussed in the context of a limited training data base, which is characteristic of practical ATP situations. A computational method is reviewed which allows the quantification of large-scale NN performance for the important small-sample case. In addition, Perceptron learning for the classification of target stochastic images governed by the Poisson distribution is examined with the aid of computer simulations.

Paper Details

Date Published: 25 November 1992
PDF: 24 pages
Proc. SPIE 1697, Acquisition, Tracking, and Pointing VI, (25 November 1992); doi: 10.1117/12.138163
Show Author Affiliations
Marek Elbaum, Electro-Optical Sciences, Inc. (United States)


Published in SPIE Proceedings Vol. 1697:
Acquisition, Tracking, and Pointing VI
Michael K. Masten; Larry A. Stockum, Editor(s)

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