Paper
8 March 1982 Inter-Class Discrimination Using Synthetic Discriminant Functions (SDFs)
Charles F. Hester, David Casasent
Author Affiliations +
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.
© (1982) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles F. Hester and David Casasent "Inter-Class Discrimination Using Synthetic Discriminant Functions (SDFs)", Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); https://doi.org/10.1117/12.932637
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fourier transforms

Target detection

Image filtering

Infrared technology

Target recognition

Optical correlators

Pattern recognition

Back to Top