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Proceedings Paper

Quantitative assessment of hyperspectral sensor detection performance
Author(s): Anthony M. Sommese; Bruce V. Shetler; Frank P. Billingsley
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Paper Abstract

The ability to differentiate man-made materials from natural materials depends upon exploiting recognizable differences in their respective spectral response. Of particular interest is the question of whether a given materials signature derived from a laboratory or field measurement can be used as a training vector for discrimination or identification in a given setting. Through the application of a matched filter, we can quantify the performance of training vectors which have been transferred in this way as well as identify which spectral regions are most diagnostic in a given situation.

Paper Details

Date Published: 31 October 1997
PDF: 14 pages
Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); doi: 10.1117/12.283836
Show Author Affiliations
Anthony M. Sommese, Photon Research Associates (United States)
Bruce V. Shetler, Photon Research Associates (United States)
Frank P. Billingsley, Photon Research Associates (United States)

Published in SPIE Proceedings Vol. 3118:
Imaging Spectrometry III
Michael R. Descour; Sylvia S. Shen, Editor(s)

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