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
Citation
APA
Chicago
ICMJE
MLA
NLM
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. 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. 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;
Dunlop, M. J., et al. “AFSSI-C: The adaptive feature-specific spectral imaging classifier.” Computational Optical Sensing and Imaging, COSI 2012, Jan. 2012. 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;
Published In
Computational Optical Sensing and Imaging, COSI 2012
DOI
Publication Date
January 1, 2012