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Proceedings Paper

Optical correlator for spectral pattern recognition
Author(s): Robin D. Alcock; Neil A. Halliwell; Jeremy M. Coupland; Phillip Sutton; John Savage
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Paper Abstract

The rapid classification and discrimination of images using spatial distribution of spectral information has widespread applications from remote monitoring of vegetation and pollution damage, to military surveillance and anti-stealth warfare. This paper describes the construction of a practical optical correlator capable of spatial and spectral pattern recognition. The method used here exploits the ability of optical correlators to process information in parallel with high space bandwidth product. For reasons of light efficiency and practical convenience, the spectral information is input into the correlator as a spatial array of coherence or 'white light' fringe patterns. This technique we have called coherence transform imaging (CTI). This paper discusses the relative merits of several interferometric methods to perform CTI including Michelson, Sagnac and Polarizing interferometers. A robust CTI camera utilizing a polarizing interferometer is then described and simple matched filtering operations are performed using CTI images recorded on photographic film. Finally an optical correlator capable of real time spectral discrimination and tracking of colored objects is demonstrated.

Paper Details

Date Published: 23 March 1998
PDF: 9 pages
Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); doi: 10.1117/12.304775
Show Author Affiliations
Robin D. Alcock, Loughborough Univ. (United Kingdom)
Neil A. Halliwell, Loughborough Univ. (United Kingdom)
Jeremy M. Coupland, Loughborough Univ. (United Kingdom)
Phillip Sutton, Defence Evaluation and Research Agency Chertsey (United Kingdom)
John Savage, Defence Research Establishment (United Kingdom)


Published in SPIE Proceedings Vol. 3386:
Optical Pattern Recognition IX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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