Maximum discrimination approach for classification of nearly identical signatures

Steven Kay; Darren K. Emge

doi:10.1117/12.2177056

22 May 2015 Maximum discrimination approach for classification of nearly identical signatures

Steven Kay, Darren K. Emge

Proceedings Volume 9455, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI; 94550F (2015) https://doi.org/10.1117/12.2177056
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Steven Kay and Darren K. Emge "Maximum discrimination approach for classification of nearly identical signatures", Proc. SPIE 9455, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI, 94550F (22 May 2015); https://doi.org/10.1117/12.2177056

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