Parametric Classification Techniques for Theater Ballistic Missile Defense

ne of the fundamental challenges in theater ballistic missile defense (TBMD) is ascertaining which element in the threat complex is the lethal object. To classify the lethal object and other objects in the complex, it is necessary to model how these objects will appear to TBMD sensors. This article describes a generic parametric approach to building classifier models. The process is illustrated with an example of building a classifier for an infrared sensor. The formulas for probability of classification error are derived. The probability of error for a proposed classification scheme is vital to assessing its efficacy in system trade studies. (