SAM-HIT: A Simulated Annealing Multispectral to Hyperspectral Imagery Data Transformation

Space-borne hyperspectral imagery data are known for their high spectral resolution in a number of narrow wavelength intervals, which makes these useful mineral mapping. However, the available free-of-charge scenes cover only and scattered geographic areas. In contrast, multispectral have nearly complete spatial coverage wider intervals. The low data, however, limits efficiency mapping small geological massifs or hydrothermal alteration halos. present contribution presents new transformation tool (SAM-HIT) to simulate sensor responses unscanned areas based on partially overlapping scenes. Simulation prediction pseudohyperspectral is here accomplished by using simulated annealing linear optimization algorithm, allows lowest possible mismatch between original predicted data. visual numerical correlation resultant confirms reliability newly adopted transformation. Further, application SAM-HIT well-exposed part Egyptian basement complex with showed concordance identical band signatures, opening outlook exploration vast automated cost-free means.