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Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII
For known signals that are linearly superimposed on gaussian backgrounds, the linear adaptive matched filter (AMF) is well-known to be the optimal detector. The AMF has furthermore proved to be remarkably effective in a broad range of circumstances where it is not optimal, and for which the optimal detector is not linear. In these cases, nonlinear detectors are theoretically superior, but direct estimation of nonlinear detectors in highdimensional spaces often leads to flagrant overfitting anddoi:10.1117/12.719952 fatcat:be36yboijve63iiusy2zlbs4iu