Tailoring hyperspectral background models to target detection problems

Abstract

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.