Spectral binning optimization for the ARTEMIS real-time processor

Charles C. Wamsley; Kenneth R. Ewald; Alan Buswell; Gary Petrick; Antonio Wolf; Brody Johnson; Timothy J. Pachter; Peggy J. Grigsby

doi:10.1117/12.795059

27 August 2008 Spectral binning optimization for the ARTEMIS real-time processor

Charles C. Wamsley, Kenneth R. Ewald, Alan Buswell, Gary Petrick, Antonio Wolf, Brody Johnson, Timothy J. Pachter, Peggy J. Grigsby

Author Affiliations +

Proceedings Volume 7086, Imaging Spectrometry XIII; 70860R (2008) https://doi.org/10.1117/12.795059
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

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.

Citation Download Citation

Charles C. Wamsley, Kenneth R. Ewald, Alan Buswell, Gary Petrick, Antonio Wolf, Brody Johnson, Timothy J. Pachter, and Peggy J. Grigsby "Spectral binning optimization for the ARTEMIS real-time processor", Proc. SPIE 7086, Imaging Spectrometry XIII, 70860R (27 August 2008); https://doi.org/10.1117/12.795059

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