Abstract

We describe a method for selecting filter sets for simultaneously optimizing the classification rates in two separate spectral signature classification problems. Our system’s performance is comparable to traditional hyper-or multispectral classifiers, but uses fewer filters.

© 2010 Optical Society of America

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