Neural network classifiers in target detection

Hal E. Beck; Ruey Y. Han; Herbert A. Duvoisin; Joe R. Brown

doi:10.1117/12.139972

16 September 1992 Neural network classifiers in target detection

Hal E. Beck, Ruey Y. Han, Herbert A. Duvoisin, Joe R. Brown

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.139972
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The focus of this paper is on the classifier module for a real-time automatic target recognition system. It is a dynamic neural network that utilizes adaptive, on-line learning. The on-line learning component is required because of the changeability of the target detection scenario resulting in unpredictable feature space representation of targets and clutter. The system was successfully tested against IR imagery of target models.

Citation Download Citation

Hal E. Beck, Ruey Y. Han, Herbert A. Duvoisin, and Joe R. Brown "Neural network classifiers in target detection", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.139972

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