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Proceedings Paper

Characterization and delineation of plumes, clouds, and fires in hyperspectral images
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Paper Abstract

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.

Paper Details

Date Published: 23 August 2000
PDF: 10 pages
Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000); doi: 10.1117/12.410349
Show Author Affiliations
Michael K. Griffin, MIT Lincoln Lab. (United States)
Su May Hsu, MIT Lincoln Lab. (United States)
Hsiao-hua K. Burke, MIT Lincoln Lab. (United States)
J. William Snow, MIT Lincoln Lab. (United States)


Published in SPIE Proceedings Vol. 4049:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI
Sylvia S. Shen; Michael R. Descour, Editor(s)

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