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Proceedings Paper

Optical Processing Of Imaging Spectrometer Data
Author(s): Shiaw-Dong Liu; David Casasent
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Paper Abstract

The data processing problems associated with imaging spectrometer data are reviewed; new algorithms and optical processing solutions are advanced for this computationally intensive application. Optical decision net, directed graph, and neural net solutions are considered. Decision nets and mineral element determination of non-mixture data are emphasized here. A new Fisher/minimum-variance clustering algorithm is advanced, initialization using minimum-variance clustering is found to be preferred and fast. Tests on a 500 class problem show the excellent performance of our algorithm.

Paper Details

Date Published: 22 August 1988
PDF: 9 pages
Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); doi: 10.1117/12.976595
Show Author Affiliations
Shiaw-Dong Liu, Carnegie Mellon University (United States)
David Casasent, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 0938:
Digital and Optical Shape Representation and Pattern Recognition
Richard D. Juday, Editor(s)

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