Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data

Michael W. Matthew; Steven M. Adler-Golden; Alexander Berk; Gerald W. Felde; Gail P. Anderson; David Gorodetzky; Scott E. Paswaters; Margaret Shippert

doi:10.1117/12.499604

23 September 2003 Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data

Michael W. Matthew, Steven M. Adler-Golden, Alexander Berk, Gerald W. Felde, Gail P. Anderson, David Gorodetzky, Scott E. Paswaters, Margaret Shippert

Author Affiliations +

Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.499604
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Michael W. Matthew, Steven M. Adler-Golden, Alexander Berk, Gerald W. Felde, Gail P. Anderson, David Gorodetzky, Scott E. Paswaters, and 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); https://doi.org/10.1117/12.499604

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