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Proceedings Paper

Information theory-based band selection for multispectral systems
Author(s): Edward M. Bassett; Sylvia S. Shen
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Paper 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.

Paper Details

Date Published: 31 October 1997
PDF: 8 pages
Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); doi: 10.1117/12.283840
Show Author Affiliations
Edward M. Bassett, The Aerospace Corp. (United States)
Sylvia S. Shen, The Aerospace Corp. (United States)


Published in SPIE Proceedings Vol. 3118:
Imaging Spectrometry III
Michael R. Descour; Sylvia S. Shen, Editor(s)

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