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Proceedings Paper

Resolution-limited statistical image classification
Author(s): Marek Elbaum; Mark Syrkin
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Paper Abstract

We have examined the performance of a one-layer Perceptron for the detection and classification of small (resolution-limited) targets from their images, which are stochastic realizations of random processes. The processes are governed by non-Gaussian, non-white distributions. Our results show the potential of the Perceptron classifier as an Ideal Observer and suggest image detection and classification problems for which neural networks may be more reliable than human observers.

Paper Details

Date Published: 2 September 1993
PDF: 22 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152516
Show Author Affiliations
Marek Elbaum, Electro-Optical Sciences, Inc. (United States)
Mark Syrkin, Electro-Optical Sciences, Inc. (United States)


Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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