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27 August 2008 Spectral binning optimization for the ARTEMIS real-time processor
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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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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