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Inter-Class Discrimination Using Synthetic Discriminant Functions (SDFs)

A hyperspace formulation of matched spatial filter pattern recognition together with band-pass filter preprocessing leads to synthesis of a synthetic discriminant function that can recognize a reference object independent of intensity and geometrical differences between inputs. Use of a maximum common information preprocessing concept, Karhunen-Loeve techniques, non-unitary transformations with multi-channel synthetic discriminant functions and a new decorrelation transformation to provide inter-class discrimination for our synthetic discriminant function system are considered. Experimental verification on M-60 tank targets and an armored personnel carrier false target are included.