RBI-EM ML Signal Separation for Imaging Techniques

摘要

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 composition 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.