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Proceedings Paper

New technique for noisy target discrimination
Author(s): Arezki Halet; George A. Lampropoulos; Tue Huynh
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Paper Abstract

A new linear discriminant technique that results in better classification performance over existing techniques is presented in this paper. This new approach is formulated in a similar manner to that of the Fisher linear discriminant. However, the matrix which corresponds to within classes has been replaced by a new matrix. This matrix takes into consideration the cross-correlation properties of the classes of interest. It has been shown through simulations that this matrix replacement results in a better classification performance over other linear discrimination methods, including the Fisher discriminant. Finally, the proposed new discriminant is presented in parametric and non-parametric forms, and is found to exhibit better classification in both cases over other parametric and non- parametric methods, respectively. With this new approach, the non-parametric method will prove to be more successful than its parametric counterpart.

Paper Details

Date Published: 27 June 1996
PDF: 9 pages
Proc. SPIE 2744, Infrared Technology and Applications XXII, (27 June 1996); doi: 10.1117/12.243484
Show Author Affiliations
Arezki Halet, A.U.G. Signals Ltd. (Canada)
George A. Lampropoulos, A.U.G. Signals Ltd. (Canada)
Tue Huynh, Univ. Laval (Canada)

Published in SPIE Proceedings Vol. 2744:
Infrared Technology and Applications XXII
Bjorn F. Andresen; Marija S. Scholl, Editor(s)

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