Information theory-based band selection for multispectral systems

Edward M. Bassett III; Sylvia S. Shen

doi:10.1117/12.283840

31 October 1997 Information theory-based band selection for multispectral systems

Edward M. Bassett III, Sylvia S. Shen

Proceedings Volume 3118, Imaging Spectrometry III; (1997) https://doi.org/10.1117/12.283840
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.283840

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