35th Applied Imagery and Pattern Recognition Workshop (AIPR'06) Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging Washington, DC, USA October 11-October 13 ISBN: 0-7695-2739-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2006.37
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.
Citation:
Mark Berman, "Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging," aipr, pp.15, 35th Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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