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Proceedings Paper

Closed-loop automatic target recognition and monitoring system
Author(s): Jay C. Hanan; Tien-Hsin Chao; Christopher Assad; Casey Hughlett; Hanying Zhou; Thomas Lu
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Paper Abstract

JPL is developing a high resolution (512 pixel x 512 pixel), high-speed (1000 frames/sec), compact Automatic Target Recognition (ATR) processor for onboard target detection, identification and tracking. This ATR processor consists of a compact Grayscale Optical Correlator (GOC) for parallel wide area target-of-interest (TOI) detection and a hardware based self-learning neural network (NN) for target identification and adaptive monitoring. This processor can be tailored to meet specific system requirements for many ATR applications. Development includes simulation of key components in software including GOC simulation and NN simulation. Both simulation tools are discussed and demonstrated.

Paper Details

Date Published: 28 March 2005
PDF: 8 pages
Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); doi: 10.1117/12.607970
Show Author Affiliations
Jay C. Hanan, Oklahoma State Univ. (United States)
Tien-Hsin Chao, Jet Propulsion Lab. (United States)
Christopher Assad, Jet Propulsion Lab. (United States)
Casey Hughlett, Zion Labs (United States)
Hanying Zhou, Jet Propulsion Lab. (United States)
Thomas Lu, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 5816:
Optical Pattern Recognition XVI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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