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Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging

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1 Author(s)
Berman, M. ; CSIRO Math. & Inf. Sci., Macquarie Univ., North Ryde, NSW

The automated identification and mapping of the constituent materials in a hyperspectral image is a problem of considerable interest. A significant issue is that the spectra at many pixels in such an image are actually mixtures of the spectra of the pure constituents. I review methods of "unmixing" spectra into their pure constituents, both when a "spectral library" of the pure constituents is available, and where no such library is available. Our own algorithms in both these areas are exemplified with a mineral and a biological example.

Published in:

Applied Imagery and Pattern Recognition Workshop, 2006. AIPR 2006. 35th IEEE

Date of Conference:

11-13 Oct. 2006