21 May 2015 A concept for hyperspectral imaging with compressive sampling and dictionary recovery
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Abstract
We postulate an optical configuration which takes a multispectral/hyperspectral scene and collects a multiplexed spectral sample on the Focal Plane Array (FPA). From such a measurement paradigm, the data is then processed with compressive imaging techniques and we recover the full multispectral cube from a single frame of imagery. We use a trained dictionary prior assumption along with a greedy reconstruction algorithm for local multispectral reconstruction.
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David Twede, David Twede, Robert Muise, Robert Muise, } "A concept for hyperspectral imaging with compressive sampling and dictionary recovery", Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94720A (21 May 2015); doi: 10.1117/12.2177573; https://doi.org/10.1117/12.2177573
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