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Proceedings Paper

Mechanisms for the conversion of hyperspectral images to chemical images
Author(s): Christopher W. Brown; Dongsheng Bu; Nancy P. Camacho; Richard Mendelsohn
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Paper Abstract

We have evaluated and combined the features of three different methods to develop an algorithm for rapidly processing hyperspectral images. The hyperspectra were initially processed with Principal Component Analysis to find the appropriate number of independent components and abstract spectral representations (loadings). Key Set Factor Analysis and SIMPLISMA (SIMPle-to-use Interactive Self- modeling Mixture Analysis) methods were combined to find `pure' wavelengths for the components from the loadings. These `pure' wavelengths were used to product initial guesses for the relative concentrations of the components, and these concentrations were used to predict the pure component spectra. The spectra were further refined by using the method of Alternating Least Squares. The methodology is demonstrated on infrared spectra of a simple, three- component chemical mixture and on a hyperspectral infrared image of cartilage tissue.

Paper Details

Date Published: 14 March 2000
PDF: 11 pages
Proc. SPIE 3920, Spectral Imaging: Instrumentation, Applications, and Analysis, (14 March 2000); doi: 10.1117/12.379590
Show Author Affiliations
Christopher W. Brown, Univ. of Rhode Island (United States)
Dongsheng Bu, Univ. of Rhode Island (United States)
Nancy P. Camacho, The Hospital for Special Surgery (United States)
Richard Mendelsohn, Rutgers Univ. (United States)


Published in SPIE Proceedings Vol. 3920:
Spectral Imaging: Instrumentation, Applications, and Analysis
Gregory H. Bearman; Dario Cabib; Richard M. Levenson, Editor(s)

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