Paper
5 August 2004 Detonation discrimination techniques using a near-infrared focal plane array camera
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anthony N. Dills, Glen P. Perram, and Steven C. Gustafson "Detonation discrimination techniques using a near-infrared focal plane array camera", Proc. SPIE 5431, Targets and Backgrounds X: Characterization and Representation, (5 August 2004); https://doi.org/10.1117/12.543082
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Cameras

Staring arrays

Explosives

Imaging systems

Optical sensors

Video

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