Closed-loop automatic target recognition and monitoring system

Jay C. Hanan; Tien-Hsin Chao; Christopher Assad; Casey Hughlett; Hanying Zhou; Thomas Lu

doi:10.1117/12.607970

28 March 2005 Closed-loop automatic target recognition and monitoring system

Jay C. Hanan, Tien-Hsin Chao, Christopher Assad, Casey Hughlett, Hanying Zhou, Thomas Lu

Proceedings Volume 5816, Optical Pattern Recognition XVI; (2005) https://doi.org/10.1117/12.607970
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Jay C. Hanan, Tien-Hsin Chao, Christopher Assad, Casey Hughlett, Hanying Zhou, and Thomas Lu "Closed-loop automatic target recognition and monitoring system", Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); https://doi.org/10.1117/12.607970

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