Optical EngineeringContinuum fusion methods of spectral detection
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The continuum fusion (CF) methodology produces new classes of multivariate detection algorithms, some of which have been used in spectral applications. CF principles apply to model-based problems in which not all parameter values are known, a common circumstance in hyperspectral operations. We reviewed the principal theoretical and applied CF results devised to date, summarized recent experimental results, and discussed in detail an important class of algorithms that illustrate the design freedom CF affords. Finally, we reviewed the fundamental CF principles as applied to a new category of model parameters only recently considered, involving a distinction in the form of a constraint that is not recognized by older methods.