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Tailoring hyperspectral background models to target detection problems
Two unconventional probability distribution models for spectral backgrounds are described. Their utility is demonstrated for contrasting problems in detection: of atmospheric plumes and of sub-pixel opaque ground targets. Neither background model belongs to the conventional class of elliptically contoured distributions.
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