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—Hyperspectral change detection has been shown to be a promising approach for detecting subtle targets in complex backgrounds. Reported change-detection methods are typically based on linear predictors that assume a space-invariant affine transformation between image pairs. Unfortunately, several physical mechanisms can lead to a significant space variance(More)
Over the past five years, the Air Force Research Laboratory and the Space Computer Corporation have supported the Civil Air Patrol in the development of the Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) system, which combines a visible/near infrared hyperspectral imaging system, high-resolution panchromatic imaging sensor, a(More)
—The goal of hyperspectral unmixing is to decompose an electromagnetic spectral dataset measured over M spectral bands and T pixels into N constituent material spectra (or " end-members ") with corresponding spatial abundances. In this paper, we propose a novel approach to hyperspectral unmixing based on loopy belief propagation (BP) that enables the(More)
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