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Proceedings Paper

RBI-EMML signal separation for imaging techniques
Author(s): Eduardo C. Meidunas; Angela Puetz; Michael L. Hoke; Charles L. Byrne
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Paper Abstract

Many imaging techniques commonly involve the extraction of mixed signal information from a pixel. In most mixed pixel cases, this is assumed to be a linear mixture and signal separation routines have been developed with this mixing compositions scheme in mind. One such signal separation routine incorporates the Expectation Maximization Maximum Likelihood (EMML) algorithm for the determination of signal mixtures in a pixel. This routine, however is very inefficient in that it requires large iteration values to converge to a solution. This report is the result of the implementation of a Re-scaled Block Iterative EMML approach, commonly used in the medical field for emission tomography image processing, to perform signal separation, while greatly increasing the efficiency in computation and rate of convergence to a solution.

Paper Details

Date Published: 2 August 2002
PDF: 15 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478760
Show Author Affiliations
Eduardo C. Meidunas, Air Force Research Lab. (United States)
Angela Puetz, Air Force Research Lab. (United States)
Michael L. Hoke, Air Force Research Lab. (United States)
Charles L. Byrne, Univ. of Massachusetts/Lowell (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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