AFSSI-C: The adaptive feature-specific spectral imaging classifier
Publication
, Journal Article
Dunlop, MJ; Jansen, PA; Golish, DR; Gehm, ME
Published in: Computational Optical Sensing and Imaging Cosi 2012
January 1, 2012
We have developed an architecture for spectral classification in spectral imaging. Adaptive kernels are designed using probabilistically-weighted principal component analysis. Simulation predicts orders-of-magnitude reduction in error rates, and a prototype system is currently under construction. © 2012 OSA.
Duke Scholars
Published In
Computational Optical Sensing and Imaging Cosi 2012
DOI
Publication Date
January 1, 2012
Start / End Page
CM4B.4
Citation
APA
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ICMJE
MLA
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Dunlop, M. J., Jansen, P. A., Golish, D. R., & Gehm, M. E. (2012). AFSSI-C: The adaptive feature-specific spectral imaging classifier. Computational Optical Sensing and Imaging Cosi 2012, CM4B.4. https://doi.org/10.1364/cosi.2012.cm4b.4
Dunlop, M. J., P. A. Jansen, D. R. Golish, and M. E. Gehm. “AFSSI-C: The adaptive feature-specific spectral imaging classifier.” Computational Optical Sensing and Imaging Cosi 2012, January 1, 2012, CM4B.4. https://doi.org/10.1364/cosi.2012.cm4b.4.
Dunlop MJ, Jansen PA, Golish DR, Gehm ME. AFSSI-C: The adaptive feature-specific spectral imaging classifier. Computational Optical Sensing and Imaging Cosi 2012. 2012 Jan 1;CM4B.4.
Dunlop, M. J., et al. “AFSSI-C: The adaptive feature-specific spectral imaging classifier.” Computational Optical Sensing and Imaging Cosi 2012, Jan. 2012, p. CM4B.4. Scopus, doi:10.1364/cosi.2012.cm4b.4.
Dunlop MJ, Jansen PA, Golish DR, Gehm ME. AFSSI-C: The adaptive feature-specific spectral imaging classifier. Computational Optical Sensing and Imaging Cosi 2012. 2012 Jan 1;CM4B.4.
Published In
Computational Optical Sensing and Imaging Cosi 2012
DOI
Publication Date
January 1, 2012
Start / End Page
CM4B.4