Application of artificial neural networks to ATP functions

Marek Elbaum

doi:10.1117/12.138163

25 November 1992 Application of artificial neural networks to ATP functions

Marek Elbaum

Proceedings Volume 1697, Acquisition, Tracking, and Pointing VI; (1992) https://doi.org/10.1117/12.138163
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Marek Elbaum "Application of artificial neural networks to ATP functions", Proc. SPIE 1697, Acquisition, Tracking, and Pointing VI, (25 November 1992); https://doi.org/10.1117/12.138163

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