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