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Proceedings Paper

Improved atmospheric retrievals of hyperspectral data using geometric constraints
Author(s): Kenneth Ewald; Emmett J. Ientilucci; Alan Buswell; John Jacobson
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Paper Abstract

Within urban environments and other complex illumination conditions, tilted target surface or partial sky occlusions from nearby raised objects can have a significant impact on a target’s radiance observed from a spectral sensor. At the pixel level, these terms can be predicted and corrected for by modeling the impact collocated height data has on the scene radiometry. After properly accounting for these impacts, a Lambertian material’s retrieved spectral reflectivity should be the same at any location or orientation within the scene. This paper proposes a novel approach for using this constraint to iterate on atmospheric aerosol parameters until the difference of retrieved spectral reflectance of two pixels of the same material, but under different illumination conditions, is minimized.

Paper Details

Date Published: 1 September 2015
PDF: 11 pages
Proc. SPIE 9611, Imaging Spectrometry XX, 961113 (1 September 2015); doi: 10.1117/12.2188376
Show Author Affiliations
Kenneth Ewald, Ball Aerospace & Technologies Corp. (United States)
Emmett J. Ientilucci, Rochester Institute of Technology (United States)
Alan Buswell, Ball Aerospace & Technologies Corp. (United States)
John Jacobson, National Air and Space Intelligence Ctr. (United States)

Published in SPIE Proceedings Vol. 9611:
Imaging Spectrometry XX
Thomas S. Pagano; John F. Silny, Editor(s)

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