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Proceedings Paper

Automated band selection for multispectral meteorological applications
Author(s): Steven D. Westerman; Roger M. Drake; Stephen R. Yool; M. Brandley; R. DeJulio
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Paper Abstract

Automated multispectral band selection facilitates access to meteorological information in satellite images. Computed quickly and automatically, multispectral band triplets having the least interband redundancy produce vivid color displays bearing the highest information potential. Results from a 12-band multispectral data set collected in spring near Bridgeport, California show that a combination of near-infrared (0.91 - 1.05 micrometers ), shortwave infrared (2.08 - 2.35 micrometers ) and longwave infrared (8.5 - 14.0 micrometers ) produces minimum interband redundancy. The automated method, which features simple manipulations of the spectral band correlation matrices, appears to be computationally robust and adaptable to changes in image scenery.

Paper Details

Date Published: 1 September 1991
PDF: 9 pages
Proc. SPIE 1492, Earth and Atmospheric Remote Sensing, (1 September 1991); doi: 10.1117/12.45854
Show Author Affiliations
Steven D. Westerman, Lockheed Missiles & Space Co., Inc. (United States)
Roger M. Drake, Lockheed Missiles & Space Co., Inc. (United States)
Stephen R. Yool, Lockheed Missiles & Space Co., Inc. (United States)
M. Brandley, Lockheed Missiles & Space Co., Inc. (United States)
R. DeJulio, Lockheed Missiles & Space Co., Inc. (United States)

Published in SPIE Proceedings Vol. 1492:
Earth and Atmospheric Remote Sensing
Robert J. Curran; James Alan Smith; Ken Watson, Editor(s)

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