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Proceedings Paper

SVD method for spectral decomposition and classification of ARES data
Author(s): James J. Lisowski; Christopher A. Cook
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Paper Abstract

Use of the Short/Medium Wavelength InfraRed (S/MWIR) region of the electromagnetic spectrum for Hyperspectral Imaging (HSI) applications is a relatively recent occurrence. Unlike the Visible and Near IR, the S/MWIR region is sensitive to reflected sunlight, thermal and molecular emissions. The singular value decomposition technique, traditionally used for processing HSI data, has been employed to extract features from ARES observations of the Navajo Generating Station at Page, AZ. The results have been compared to more straightforward techniques for identifying narrow band molecular emission features. Ground truth measurements made by the Aerospace Corporation are used to verify the extracted features.

Paper Details

Date Published: 6 November 1996
PDF: 16 pages
Proc. SPIE 2821, Hyperspectral Remote Sensing and Applications, (6 November 1996); doi: 10.1117/12.257177
Show Author Affiliations
James J. Lisowski, SciTec Inc. (United States)
Christopher A. Cook, SciTec Inc. (United States)

Published in SPIE Proceedings Vol. 2821:
Hyperspectral Remote Sensing and Applications
Sylvia S. Shen, Editor(s)

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