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Proceedings Paper

Statistical And Deterministic Aspects Of Multisensor Optical Image Pattern Recognition
Author(s): David Casasent; Domingo Munoz
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Paper Abstract

A classification of multi-sensor imagery from the sensor's point of view is advanced. From this treatment, the statistical and deterministic contributions to a multi-sensor image correlation process are more clearly seen. The optimum preprocessing operation for several cases of multi-sensor image pattern recognition are noted and the use of weighted matched spatial filter synthesis as a one step optical pattern recognition correlator is described. Theoretical formulation and experimental verification of the result that edge enhancement preprocessing is not always optimum in a multi-sensor optical image pattern recognition system are presented.

Paper Details

Date Published: 4 December 1979
PDF: 7 pages
Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); doi: 10.1117/12.965610
Show Author Affiliations
David Casasent, Carnegie-Mellon University (United States)
Domingo Munoz, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0201:
Optical Pattern Recognition
David P. Casasent, Editor(s)

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