Resolution-limited statistical image classification

Marek Elbaum; Mark Syrkin

doi:10.1117/12.152516

2 September 1993 Resolution-limited statistical image classification

Marek Elbaum, Mark Syrkin

Proceedings Volume 1965, Applications of Artificial Neural Networks IV; (1993) https://doi.org/10.1117/12.152516
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Marek Elbaum and Mark Syrkin "Resolution-limited statistical image classification", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152516

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