23 August 2000 Characterization and delineation of plumes, clouds, and fires in hyperspectral images
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Two approaches, one for discriminating features in a set of AVIRIS scenes dominated by areas of smoke, plumes, clouds and burning grassland as well as scarred (burned) areas and another for identifying those features are presented here. A semiautomated feature extraction approach using principal components analysis was used to separate the scenes into feature classes. Typically, only 3 component images were used to classify the image. A physics-based approach which utilized the spectral diversity of the features in the image was used to identify the nature of the classes produced in the component analysis. The results from this study show how the two approaches can be used in unison to fully characterize a smoke or cloud-filled scene.
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Michael K. Griffin, Michael K. Griffin, Su May Hsu, Su May Hsu, Hsiao-hua K. Burke, Hsiao-hua K. Burke, J. William Snow, J. William Snow, } "Characterization and delineation of plumes, clouds, and fires in hyperspectral images", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); doi: 10.1117/12.410349; https://doi.org/10.1117/12.410349

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