Automated band selection for multispectral meteorological applications

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

doi:10.1117/12.45854

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 proceeding › Conference contribution

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 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 language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Publ by Int Soc for Optical Engineering
Pages	263-271
Number of pages	9
Volume	1492
ISBN (Print)	0819406015, 9780819406019
DOIs	https://doi.org/10.1117/12.45854
State	Published - 1991
Externally published	Yes
Event	Earth and Atmospheric Remote Sensing - Orlando, FL, USA Duration: Apr 2 1991 → Apr 4 1991

Other

Other	Earth and Atmospheric Remote Sensing
City	Orlando, FL, USA
Period	4/2/91 → 4/4/91

ASJC Scopus subject areas

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

Access to Document

10.1117/12.45854

Cite this

Westerman, SD, Drake, R, Yool, SR, Brandley, M & DeJulio, R 1991, Automated band selection for multispectral meteorological applications. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 1492, Publ by Int Soc for Optical Engineering, pp. 263-271, Earth and Atmospheric Remote Sensing, Orlando, FL, USA, 4/2/91. https://doi.org/10.1117/12.45854

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title = "Automated band selection for multispectral meteorological applications",

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 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.",

author = "Westerman, {Steven D.} and R. Drake and Yool, {Stephen R.} and M. Brandley and R. DeJulio",

year = "1991",

doi = "10.1117/12.45854",

language = "English (US)",

isbn = "0819406015",

volume = "1492",

pages = "263--271",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "Publ by Int Soc for Optical Engineering",

note = "Earth and Atmospheric Remote Sensing ; Conference date: 02-04-1991 Through 04-04-1991",

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T1 - Automated band selection for multispectral meteorological applications

AU - Westerman, Steven D.

AU - Drake, R.

AU - Yool, Stephen R.

AU - Brandley, M.

AU - DeJulio, R.

PY - 1991

Y1 - 1991

N2 - 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.

AB - 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.

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DO - 10.1117/12.45854

M3 - Conference contribution

AN - SCOPUS:0025857045

SN - 0819406015

SN - 9780819406019

VL - 1492

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BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Publ by Int Soc for Optical Engineering

T2 - Earth and Atmospheric Remote Sensing

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ER -

Automated band selection for multispectral meteorological applications

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