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Experimental demonstration of an adaptive architecture for direct spectral imaging classification.

Publication ,  Journal Article
Dunlop-Gray, M; Poon, PK; Golish, D; Vera, E; Gehm, ME
Published in: Optics express
August 2016

Spectral imaging is a powerful tool for providing in situ material classification across a spatial scene. Typically, spectral imaging analyses are interested in classification, though often the classification is performed only after reconstruction of the spectral datacube. We present a computational spectral imaging system, the Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C), which yields direct classification across the spatial scene without reconstruction of the source datacube. With a dual disperser architecture and a programmable spatial light modulator, the AFSSI-C measures specific projections of the spectral datacube which are generated by an adaptive Bayesian classification and feature design framework. We experimentally demonstrate multiple order-of-magnitude improvement of classification accuracy in low signal-to-noise (SNR) environments when compared to legacy spectral imaging systems.

Duke Scholars

Published In

Optics express

DOI

EISSN

1094-4087

ISSN

1094-4087

Publication Date

August 2016

Volume

24

Issue

16

Start / End Page

18307 / 18321

Related Subject Headings

  • Optics
  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0205 Optical Physics
 

Citation

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ICMJE
MLA
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Dunlop-Gray, M., Poon, P. K., Golish, D., Vera, E., & Gehm, M. E. (2016). Experimental demonstration of an adaptive architecture for direct spectral imaging classification. Optics Express, 24(16), 18307–18321. https://doi.org/10.1364/oe.24.018307
Dunlop-Gray, Matthew, Phillip K. Poon, Dathon Golish, Esteban Vera, and Michael E. Gehm. “Experimental demonstration of an adaptive architecture for direct spectral imaging classification.Optics Express 24, no. 16 (August 2016): 18307–21. https://doi.org/10.1364/oe.24.018307.
Dunlop-Gray M, Poon PK, Golish D, Vera E, Gehm ME. Experimental demonstration of an adaptive architecture for direct spectral imaging classification. Optics express. 2016 Aug;24(16):18307–21.
Dunlop-Gray, Matthew, et al. “Experimental demonstration of an adaptive architecture for direct spectral imaging classification.Optics Express, vol. 24, no. 16, Aug. 2016, pp. 18307–21. Epmc, doi:10.1364/oe.24.018307.
Dunlop-Gray M, Poon PK, Golish D, Vera E, Gehm ME. Experimental demonstration of an adaptive architecture for direct spectral imaging classification. Optics express. 2016 Aug;24(16):18307–18321.
Journal cover image

Published In

Optics express

DOI

EISSN

1094-4087

ISSN

1094-4087

Publication Date

August 2016

Volume

24

Issue

16

Start / End Page

18307 / 18321

Related Subject Headings

  • Optics
  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 1005 Communications Technologies
  • 0906 Electrical and Electronic Engineering
  • 0205 Optical Physics