20 August 2001 Shadow-insensitive material detection/classification with atmospherically corrected hyperspectral imagery
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Abstract
Shadow-insensitive detection or classification of surface materials in atmospherically corrected hyperspectral imagery can be achieved by expressing the reflectance spectrum as a linear combination of spectra that correspond to illumination by the direct sum and by the sky. Some specific algorithms and applications are illustrated using HYperspectral Digital Imagery Collection Experiment (HYDICE) data.
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Steven M. Adler-Golden, Robert Y. Levine, Michael W. Matthew, Steven C. Richtsmeier, Lawrence S. Bernstein, John H. Gruninger, Gerald W. Felde, Michael L. Hoke, Gail P. Anderson, Anthony Ratkowski-, "Shadow-insensitive material detection/classification with atmospherically corrected hyperspectral imagery", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); doi: 10.1117/12.437037; https://doi.org/10.1117/12.437037
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