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Proceedings Paper

Inter-Class Discrimination Using Synthetic Discriminant Functions (SDFs)
Author(s): Charles F. Hester; David Casasent
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Paper Abstract

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.

Paper Details

Date Published: 8 March 1982
PDF: 9 pages
Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); doi: 10.1117/12.932637
Show Author Affiliations
Charles F. Hester, Carnegie-Mellon University (United States)
David Casasent, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0302:
Infrared Technology for Target Detection and Classification
Pat M. Narendra, Editor(s)

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