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Proceedings Paper

Further investigations into the use of linear and nonlinear mixing models for hyperspectral image analysis
Author(s): Kerri Guilfoyle; Mark L.G. Althouse; Chein-I Chang
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Paper Abstract

This paper presents the latest results of a series of experiments deigned to identify situations in which linear and nonlinear mixing models are expect to occur. It continues to investigate the possibility that there may be naturally occurring situation in which the typically used linear mixture model may not provide the most accurate spectrum. It has already been shown that for specific situations, in binary mixing cases, the nonlinear mixing model can produce more accurate endmember abundance estimates. These results are extended to include ternary and quaternary mixtures, as well as hyperspectral imagery collected over Cuprite, Nevada. In order to test these hypotheses, laboratory endmember and mixture data are collected in various scenarios for analysis. As shown in experiments, ternary and quaternary mixtures are more complicated than binary mixtures and the nonlinear mixing is more likely to occur in ternary and quaternary mixtures than in binary mixtures.

Paper Details

Date Published: 2 August 2002
PDF: 11 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478747
Show Author Affiliations
Kerri Guilfoyle, Univ. of Maryland/Baltimore County (United States)
Mark L.G. Althouse, Univ. of Maryland/Baltimore County (United States)
Chein-I Chang, Univ. of Maryland/Baltimore County (United States)


Published in SPIE Proceedings Vol. 4725:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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