If a nonparametric rule is not set, then the pixel is classified using only the parametric rule. All of the parametric signatures are tested. If a nonparametric rule is set, the pixel is tested against all of the signatures with nonparametric definitions. This rule results in the following conditions:
If the nonparametric test results in one unique class, the pixel is assigned to that class.
If the nonparametric test results in zero classes (that is, the pixel lies outside all the nonparametric decision boundaries), then the unclassified rule is applied. With this rule, the pixel is either classified by the parametric rule or left unclassified.
If the pixel falls into more than one class as a result of the nonparametric test, the overlap rule is applied. With this rule, the pixel is either classified by the parametric rule, processing order, or left unclassified.