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Proceedings Paper

Maximum discrimination approach for classification of nearly identical signatures
Author(s): Steven Kay; Darren K. Emge
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Paper Abstract

A method of classifying signatures that are very nearly identical is described. In this instance, slight template errors can result in poor classification performance even in a high signal-to-noise ratio environment. To ameliorate the uncertainty in the signature templates a new approach is proposed. It involves processing only the maximum discrimination frequency bands. A computer simulation using actual chemical signatures illustrates the approach and demonstrates its improved performance over traditional techniques.

Paper Details

Date Published: 22 May 2015
PDF: 12 pages
Proc. SPIE 9455, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI, 94550F (22 May 2015); doi: 10.1117/12.2177056
Show Author Affiliations
Steven Kay, The Univ. of Rhode Island (United States)
Darren K. Emge, Edgewood Chemical Biological Ctr. (United States)


Published in SPIE Proceedings Vol. 9455:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI
Augustus Way Fountain, Editor(s)

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