Automated band selection for multispectral meteorological applications

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 μm), shortwave infrared (2.08 - 2.35 μm) and longwave infrared (8.5 - 14.0 μm) 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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Number of pages9
ISBN (Print)0819406015, 9780819406019
StatePublished - 1991
Externally publishedYes
EventEarth and Atmospheric Remote Sensing - Orlando, FL, USA
Duration: Apr 2 1991Apr 4 1991


OtherEarth and Atmospheric Remote Sensing
CityOrlando, FL, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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