Modeling the effects of atmospheric propagation for spectral libraries of natural backgrounds

Mary Ann Glennon; Gail Anderson; Dimitris Manolakis; Ronald Lockwood; Peggy Grigsby; John Jacobson; John Cipar; Thomas Cooley

doi:10.1117/12.718761

10 May 2007 Modeling the effects of atmospheric propagation for spectral libraries of natural backgrounds

Mary Ann Glennon, Gail Anderson, Dimitris Manolakis, Ronald Lockwood, Peggy Grigsby, John Jacobson, John Cipar, Thomas Cooley

Author Affiliations +

Proceedings Volume 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII; 656521 (2007) https://doi.org/10.1117/12.718761
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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 MODTRAN^TM5 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.

Citation Download Citation

Mary Ann Glennon, Gail Anderson, Dimitris Manolakis, Ronald Lockwood, Peggy Grigsby, John Jacobson, John Cipar, and Thomas Cooley "Modeling the effects of atmospheric propagation for spectral libraries of natural backgrounds", Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 656521 (10 May 2007); https://doi.org/10.1117/12.718761

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