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Proceedings Paper

Integrated wavelet and neural processor for automatic target recognition
Author(s): Tien-Hsin Chao; Eric R. Hegblom; Brian Lau
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Paper Abstract

An integrated automatic target recognition processor utilizing a feature extraction wavelet preprocessor and a pattern recognition neuroprocessor is introduced. Feature extraction of orientation and scale information using a Morlet wavelet is introduced. This feature extraction wavelet preprocessor is used for pre-attentive vision such that the orientation, scale, and location feature are effectively extracted. This wavelet preprocessor will enable the neuroprocessor to dynamically focus its vision on incoming targets based on their known features. This will result in higher discrimination and lower false alarm rate. The theoretical analysis of the orientation and scale selectivity using a Morlet wavelet is provided. Experimental demonstrations of wavelet preprocessing for feature extraction are also provided.

Paper Details

Date Published: 1 March 1994
PDF: 7 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169433
Show Author Affiliations
Tien-Hsin Chao, Jet Propulsion Lab. (United States)
Eric R. Hegblom, Jet Propulsion Lab. (United States)
Brian Lau, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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