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23 August 2000 Atmospheric correction of spectral imagery data
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Atmospheric emission, scattering, and photon absorption degrade spectral imagery data and reduce its utility. The Air Force Research Laboratory and Spectral Sciences, Inc. are developing a MODTRAN4-based 'atmospheric mitigation’ algorithm to support current and planned IR-visible-UV sensor spectral radiance imagery measurements. The intent is to provide surface reflectance and emissivity imagery data of sufficient accuracy for input into subsequent analyses of surface properties, effectively removing the atmospheric component. This report is the result of the application of the atmospheric mitigation algorithm to a NASA/JPL AVIRIS spectral image cube as a pre-processing step towards improving the performance of image categorization routines.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eduardo C. Meidunas, Prabhat K. Acharya, Steven M. Adler-Golden, Gail P. Anderson, Peter S. Armstrong, Alexander Berk, Lawrence S. Bernstein, Gerald W. Felde, James A. Gardner, Michael L. Hoke, Michael W. Matthew, and Anthony J. Ratkowski "Atmospheric correction of spectral imagery data", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000);

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