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, 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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