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Proceedings Paper

Modeling the effects of atmospheric propagation for spectral libraries of natural backgrounds
Author(s): Mary Ann Glennon; Gail Anderson; Dimitris Manolakis; Ronald Lockwood; Peggy Grigsby; John Jacobson; John Cipar; Thomas Cooley
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Paper Abstract

The statistics of natural backgrounds extracted from an Airborne Visible and Infrared Imaging Spectrometer (AVIRIS) hyperspectral datacube collected over Fort AP Hill, VA, were used to demonstrate the effects of the two atmospheric components of a statistical end-to-end performance prediction model. New capabilities in MODTRANTM5 were used to generate coefficients for linear transformations used in the atmospheric transmission and compensation components of a typical end-to-end model. Model radiance statistics, calculated using reflectance data, is found to be similar to the original AVIRIS radiance data. Moreover, if identical atmospheric conditions are applied in the atmospheric transmission and in the atmospheric compensation model components and the effects of sensor noise are disregarded, the resulting reflectance statistics are identical to the original reflectance statistics.

Paper Details

Date Published: 10 May 2007
PDF: 9 pages
Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 656521 (10 May 2007); doi: 10.1117/12.718761
Show Author Affiliations
Mary Ann Glennon, Boston College (United States)
Gail Anderson, Air Force Research Lab. (United States)
Dimitris Manolakis, MIT Lincoln Lab. (United States)
Ronald Lockwood, Air Force Research Lab. (United States)
Peggy Grigsby, National Air and Space Intelligence Ctr. (United States)
John Jacobson, National Air and Space Intelligence Ctr. (United States)
John Cipar, Air Force Research Lab. (United States)
Thomas Cooley, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6565:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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