  Bayesian priors are investigated for detecting targets of known spectral
signature (but unknown strength) in cluttered backgrounds. A specific problem
is the construction (or ``sculpting'') of a Bayesian prior that uniformly
outperforms its non-Bayesian counterpart, the nominally sub-optimal but widely
used Generalized Likelihood Ratio Test (GLRT).
