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31 October 1997 Information theory-based band selection for multispectral systems
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This paper describes a methodology we have developed for wavelength band selection. This methodology combines an information theory-based criterion for selection with a genetic algorithm for searching for a near-optimal solution. We have applied this methodology to 302 material spectra in the Nonconventional Exploitation Factors database to determine the band locations for 7, 15, 30, and 60-band sets that permit the best material separation. These optical band sets wee also evaluated in terms of their utility related to anomaly/target detect in using multiband images generated from a hyperspectral digital imagery collection experiment image cube. The optimal band locations and their corresponding entropies are given in this paper. Also presented are the anomaly/target detection results obtained from using these optimal band sets.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward M. Bassett III and Sylvia S. Shen "Information theory-based band selection for multispectral systems", Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997);

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