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Proceedings Paper

Computational hyperspectral unmixing using the AFSSI-C
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Paper Abstract

We have previously introduced a high throughput multiplexing computational spectral imaging device. The device measures scalar projections of pseudo-arbitrary spectral filters at each spatial pixel. This paper discusses simulation and initial experimental progress in performing computational spectral unmixing by taking advantage of the natural sparsity commonly found in the fractional abundances. The simulation results show a lower unmixing error compared to traditional spectral imaging devices. Initial experimental results demonstrate the ability to directly perform spectral unmixing with less error than multiplexing alone.

Paper Details

Date Published: 19 May 2016
PDF: 8 pages
Proc. SPIE 9870, Computational Imaging, 987003 (19 May 2016); doi: 10.1117/12.2223193
Show Author Affiliations
Phillip K. Poon, College of Optical Sciences, The Univ. of Arizona (United States)
Esteban Vera, Duke Univ. (United States)
Michael E. Gehm, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 9870:
Computational Imaging
Abhijit Mahalanobis; Kenneth S. Kubala; Amit Ashok; Jonathan C. Petruccelli; Lei Tian, Editor(s)

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