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Proceedings Paper

Detonation discrimination techniques using a near-infrared focal plane array camera
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Paper Abstract

This research investigates the classification of battlespace detonations, specifically the determination of munitions type and size using image features from an infrared wavelength camera. Experimental data are collected for the detonation of several types of conventional munitions with different high explosive materials and different weights. Key features are identified for discriminating various types and sizes of detonation flashes. These features include statistical parameters derived from the time dependence of fireball size. Using Fisher linear discriminant techniques, these features are projected onto a line such that the projected points are maximally clustered for different classes of detonations. Bayesian decision boundaries for classification are then determined.

Paper Details

Date Published: 5 August 2004
PDF: 10 pages
Proc. SPIE 5431, Targets and Backgrounds X: Characterization and Representation, (5 August 2004); doi: 10.1117/12.543082
Show Author Affiliations
Anthony N. Dills, Air Force Institute of Technology (United States)
Glen P. Perram, Air Force Institute of Technology (United States)
Steven C. Gustafson, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5431:
Targets and Backgrounds X: Characterization and Representation
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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