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AFSSI-C: the Adaptive Feature-Specific Spectral Imaging Classifier

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Abstract

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 Optical Society of America

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