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Proceedings Paper

Spectral binning optimization for the ARTEMIS real-time processor
Author(s): Charles C. Wamsley; Kenneth R. Ewald; Alan Buswell; Gary Petrick; Antonio Wolf; Brody Johnson; Timothy J. Pachter; Peggy J. Grigsby
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Paper Abstract

The ARTEMIS hyperspectral sensor will be the first spaceborne hyperspectral sensor with an on-board real-time processing capability. The ARTEMIS real-time processor utilizes both anomaly and material detection algorithms to locate materials of potential interest. To satisfy the real-time processing timelines, the collected data must be reduced from hundreds of bands to around 64 bins, where a bin can be a single band or the average of a set of bands. A signature optimization study was conducted to compare various binning algorithms through the analysis of both the detection characteristics and the discrimination performance before and after spectral binning.

Paper Details

Date Published: 27 August 2008
PDF: 7 pages
Proc. SPIE 7086, Imaging Spectrometry XIII, 70860R (27 August 2008); doi: 10.1117/12.795059
Show Author Affiliations
Charles C. Wamsley, Ball Aerospace & Technologies Corp. (United States)
Kenneth R. Ewald, Ball Aerospace & Technologies Corp. (United States)
Alan Buswell, Ball Aerospace & Technologies Corp. (United States)
Gary Petrick, Ball Aerospace & Technologies Corp. (United States)
Antonio Wolf, Ball Aerospace & Technologies Corp. (United States)
Brody Johnson, Ball Aerospace & Technologies Corp. (United States)
Timothy J. Pachter, Ball Aerospace & Technologies Corp. (United States)
Peggy J. Grigsby, National Air and Space Intelligence Ctr. (United States)


Published in SPIE Proceedings Vol. 7086:
Imaging Spectrometry XIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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