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Proceedings Paper

Evaluations of classification and spectral unmixing algorithms using ground based satellite imaging
Author(s): James F. Scholl; E. Keith Hege; Michael Lloyd-Hart; Daniel O'Connell; William R. Johnson; Eustace L. Dereniak
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Paper Abstract

Abundances of material components in objects are usually computed using techniques such as linear spectral unmixing on individual pixels captured on hyperspectral imaging devices. However, algorithms such as unmixing have many flaws, some due to implementation, and others due to improper choices of the spectral library used in the unmixing (as well as classification). There may exist other methods for extraction of this hyperspectral abundance information. We propose the development of spatial ground truth data from which various unmixing algorithm analyses can be evaluated. This may be done by implementing a three-dimensional hyperpspectral discrete wavelet transform (HSDWT) with a low-complexity lifting method using the Haar basis. Spectral unmixing, or similar algorithms can then be evaluated, and their effectiveness can be measured by how well or poorly the spatial and spectral characteristics of the target are reproduced at full resolution (which becomes single object classification by pixel).

Paper Details

Date Published: 8 May 2006
PDF: 12 pages
Proc. SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 623328 (8 May 2006); doi: 10.1117/12.664954
Show Author Affiliations
James F. Scholl, Univ. of Arizona (United States)
E. Keith Hege, MKS Imaging Technology, LLC (United States)
Univ. of Arizona (United States)
Michael Lloyd-Hart, Univ. of Arizona (United States)
Daniel O'Connell, Maui Optical Sciences and Imaging Ctr. (United States)
William R. Johnson, Jet Propulsion Lab. (United States)
Eustace L. Dereniak, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 6233:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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