25 May 2005 Detonation discrimination and feature saliency using a near-infrared focal plane array and a visible CCD camera
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This research investigates the classification of battlespace detonations, specifically the determination of munitions type and size using temporal and spectral features from near-infrared (NIR) and visible wavelength imagers. Key features from the time dependence of fireball size are identified for discriminating various types and sizes of detonation flashes. The five classes include three weights of trinitrotoluene (TNT) and two weights of an enhanced mixture, all of which are uncased and detonated with 10% C-4. Using Fisher linear discriminant techniques, these features are projected onto a line such that the projected points are maximally clustered for the different classes of detonations. Bayesian decision boundaries for classification are then established on class-conditional probability densities and are tested using independent test data. Feature saliency and stability are determined by selecting those features that best discriminate while requiring low variations in class-conditional probability densities and high performance in independent testing. Given similar conditions, the most important and stable feature is the time to the maximum fireball area in the near-infrared wavelength band (0.6 to 1.7 microns). This feature correctly discriminates between TNT and ENE about 90% of the time, whether weight is known or not. The associated class-conditional probability densities separate the two classes with a Fisher ratio of 2.9±0.3 and an area under the receiver operating characteristic, AROC, of 0.992. Also, tmp achieves approximately 54% success rate at discerning both weight and type.
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Anthony N. Dills, Anthony N. Dills, Steven C. Gustafson, Steven C. Gustafson, Glen P. Perram, Glen P. Perram, } "Detonation discrimination and feature saliency using a near-infrared focal plane array and a visible CCD camera", Proc. SPIE 5811, Targets and Backgrounds XI: Characterization and Representation, (25 May 2005); doi: 10.1117/12.602919; https://doi.org/10.1117/12.602919

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