RBI-EMML signal separation for imaging techniques

Eduardo C. Meidunas; Angela Puetz; Michael L. Hoke; Charles L. Byrne

doi:10.1117/12.478760

2 August 2002 RBI-EMML signal separation for imaging techniques

Eduardo C. Meidunas, Angela Puetz, Michael L. Hoke, Charles L. Byrne

Proceedings Volume 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII; (2002) https://doi.org/10.1117/12.478760
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Eduardo C. Meidunas, Angela Puetz, Michael L. Hoke, and Charles L. Byrne "RBI-EMML signal separation for imaging techniques", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478760

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