23 September 2003 Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data
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Abstract
With its combination of good spatial and spectral resolution, visible to near infrared spectral imaging from aircraft or spacecraft is a highly valuable technology for remote sensing of the earth's surface. Typically it is desirable to eliminate atmospheric effects on the imagery, a process known as atmospheric correction. In this paper we review the basic methodology of first-principles atmospheric correction and present results from the latest version of the FLAASH (Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes) algorithm. We show some comparisons of ground truth spectra with FLAASH-processed AVIRIS data, including results obtained using different processing options, and with results from the ACORN algorithm that derive from an older MODTRAN4 spectral database.
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Michael W. Matthew, Michael W. Matthew, Steven M. Adler-Golden, Steven M. Adler-Golden, Alexander Berk, Alexander Berk, Gerald W. Felde, Gerald W. Felde, Gail P. Anderson, Gail P. Anderson, David Gorodetzky, David Gorodetzky, Scott E. Paswaters, Scott E. Paswaters, Margaret Shippert, Margaret Shippert, } "Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); doi: 10.1117/12.499604; https://doi.org/10.1117/12.499604
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