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Proceedings Paper

A Mixture Neural Net For Multispectral Imaging Spectrometer Processing
Author(s): David Casasent; Timothy Slagle
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Paper Abstract

Each spatial region viewed by an imaging spectrometer contains various elements in a mixture. The elements present and the amount of each are to be determined. A neural net solution is considered. Initial optical neural net hardware is described. The first simulations on the component requirements of a neural net are considered. The pseudoinverse solution is shown to not suffice, i.e. a neural net solution is required.

Paper Details

Date Published: 1 March 1990
PDF: 10 pages
Proc. SPIE 1198, Sensor Fusion II: Human and Machine Strategies, (1 March 1990); doi: 10.1117/12.969986
Show Author Affiliations
David Casasent, Carnegie Mellon University (United States)
Timothy Slagle, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 1198:
Sensor Fusion II: Human and Machine Strategies
Paul S. Schenker, Editor(s)

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