Statistical And Deterministic Aspects Of Multisensor Optical Image Pattern Recognition

David Casasent; Domingo Munoz

doi:10.1117/12.965610

4 December 1979 Statistical And Deterministic Aspects Of Multisensor Optical Image Pattern Recognition

David Casasent, Domingo Munoz

Proceedings Volume 0201, Optical Pattern Recognition; (1979) https://doi.org/10.1117/12.965610
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

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.

Citation Download Citation

David Casasent and Domingo Munoz "Statistical And Deterministic Aspects Of Multisensor Optical Image Pattern Recognition", Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); https://doi.org/10.1117/12.965610

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