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Proceedings Paper

Atmospheric correction of spectral imagery data
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Paper Abstract

Atmospheric emission, scattering, and photon absorption degrade spectral imagery data and reduce its utility. The Air Force Research Laboratory and Spectral Sciences, Inc. are developing a MODTRAN4-based 'atmospheric mitigation’ algorithm to support current and planned IR-visible-UV sensor spectral radiance imagery measurements. The intent is to provide surface reflectance and emissivity imagery data of sufficient accuracy for input into subsequent analyses of surface properties, effectively removing the atmospheric component. This report is the result of the application of the atmospheric mitigation algorithm to a NASA/JPL AVIRIS spectral image cube as a pre-processing step towards improving the performance of image categorization routines.

Paper Details

Date Published: 23 August 2000
PDF: 6 pages
Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); doi: 10.1117/12.410339
Show Author Affiliations
Eduardo C. Meidunas, Air Force Research Lab. (United States)
Prabhat K. Acharya, Spectral Sciences, Inc. (United States)
Steven M. Adler-Golden, Spectral Sciences, Inc. (United States)
Gail P. Anderson, Air Force Research Lab. (United States)
Peter S. Armstrong, Stewart Radiance Lab. (United States)
Alexander Berk, Spectral Sciences, Inc. (United States)
Lawrence S. Bernstein, Spectral Sciences, Inc. (United States)
Gerald W. Felde, Air Force Research Lab. (United States)
James A. Gardner, Univ. of Arizona and Air Force Research Lab. (United States)
Michael L. Hoke, Air Force Research Lab. (United States)
Michael W. Matthew, Spectral Sciences, Inc. (United States)
Anthony J. Ratkowski, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4049:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Sylvia S. Shen; Michael R. Descour, Editor(s)

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