Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > FiO > 2014 > FTh2B > FTh2B.5

Experimental Validation of the Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C)

Matthew Dunlop-Gray, Phillip Poon, Esteban Vera, and Michael Gehm

Not Accessible

Your library or personal account may give you access

Abstract

We present experimental results for the Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C) that are in excellent quantitative agreement with simulation. Performance gains >1000x relative to conventional approaches are predicted for expanded systems.

© 2014 Optical Society of America

PDF Article
More Like This
AFSSI-C: the Adaptive Feature-Specific Spectral Imaging Classifier

M.J. Dunlop, P.A. Jansen, D.R. Golish, and M.E. Gehm
CM4B.4 Computational Optical Sensing and Imaging (COSI) 2012

Calibration Challenges and Initial Experimental Demonstration of an Adaptive, Feature-Specific Spectral Imaging Classifier

M. J. Dunlop, P. K. Poon, D. R. Golish, E. M. Vera, and M. E. Gehm
CW2C.3 Computational Optical Sensing and Imaging (COSI) 2013

Adaptive, feature-specific spectral imaging classifier

M. J. Dunlop, P. A. Jansen, and M. E. Gehm
CMD3 Computational Optical Sensing and Imaging (COSI) 2011

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use