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Optical Engineering

Speed and accuracy improvements in FLAASH atmospheric correction of hyperspectral imagery
Author(s): Timothy Perkins; Steven M. Adler-Golden; Michael W. Matthew; Alexander Berk; Lawrence S. Bernstein; Jamine Lee; Marsha Fox
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Paper Abstract

Remotely sensed spectral imagery of the earth's surface can be used to fullest advantage when the influence of the atmosphere has been removed and the measurements are reduced to units of reflectance. Here, we provide a comprehensive summary of the latest version of the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes atmospheric correction algorithm. We also report some new code improvements for speed and accuracy. These include the re-working of the original algorithm in C-language code parallelized with message passing interface and containing a new radiative transfer look-up table option, which replaces executions of the MODTRAN® model. With computation times now as low as ~10  s per image per computer processor, automated, real-time, on-board atmospheric correction of hyper- and multi-spectral imagery is within reach.

Paper Details

Date Published: 13 June 2012
PDF: 8 pages
Opt. Eng. 51(11) 111707 doi: 10.1117/1.OE.51.11.111707
Published in: Optical Engineering Volume 51, Issue 11
Show Author Affiliations
Timothy Perkins, Spectral Sciences, Inc. (United States)
Steven M. Adler-Golden, Spectral Sciences, Inc. (United States)
Michael W. Matthew, Spectral Sciences, Inc. (United States)
Alexander Berk, Spectral Sciences, Inc. (United States)
Lawrence S. Bernstein, Spectral Sciences, Inc. (United States)
Jamine Lee, Spectral Sciences, Inc. (United States)
Marsha Fox, Spectral Sciences, Inc. (United States)


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