The following problem is studied: to describe the performance of a network of sensors in effecting a binary
classification of perceived targets, perhaps comprising several distinct classes (multiple decoy types, for example), by
independent observations. Sensor performance is modeled either by target response densities or by receiver operating
characteristic curves. We show how a joint ROC curve can be constructed when either of these models is used and illustrate
some of the ideas by examples. A key idea is a new sensor model, called herein "neoclassical", that yields a one dimensional
equivalent sensor model for a multisensor network.