Causal and semicausal stochastic fields may be rewritten in a state-space representation. Local changes in these fields may be regarded as time-varying changes in the parameters of this model. Using a Kalman filter bank, the generalized likelihood ratio may be computed if these changes are known to be in a certain set. If only some scaling parameters are unknown, exact expressions for the gener...