Automated band selection for multispectral meteorological applications

Steven D. Westerman; Roger M. Drake; Stephen R. Yool; M. Brandley; R. DeJulio

doi:10.1117/12.45854

1 September 1991 Automated band selection for multispectral meteorological applications

Steven D. Westerman, Roger M. Drake, Stephen R. Yool, M. Brandley, R. DeJulio

Proceedings Volume 1492, Earth and Atmospheric Remote Sensing; (1991) https://doi.org/10.1117/12.45854
Event: Orlando '91, 1991, Orlando, FL, United States

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.

Citation Download Citation

Steven D. Westerman, Roger M. Drake, Stephen R. Yool, M. Brandley, and R. DeJulio "Automated band selection for multispectral meteorological applications", Proc. SPIE 1492, Earth and Atmospheric Remote Sensing, (1 September 1991); https://doi.org/10.1117/12.45854

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