Proceedings Paper
A concept for hyperspectral imaging with compressive sampling and dictionary recovery| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 21 May 2015
PDF: 6 pages
Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94720A (21 May 2015); doi: 10.1117/12.2177573
Published in SPIE Proceedings Vol. 9472:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Miguel Velez-Reyes; Fred A. Kruse, Editor(s)
PDF: 6 pages
Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94720A (21 May 2015); doi: 10.1117/12.2177573
Show Author Affiliations
David Twede, Lockheed Martin Missiles and Fire Control (United States)
Robert Muise, Lockheed Martin Missiles and Fire Control (United States)
Published in SPIE Proceedings Vol. 9472:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI
Miguel Velez-Reyes; Fred A. Kruse, Editor(s)
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