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Proceedings Paper

Multiple sensors, voting methods, and target value analysis
Author(s): James R. Parker
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Paper Abstract

Voting techniques for high level sensor/data fusion are explored here, with examples from character recognition and target value analysis. High degrees of reliability can be achieved, and the method can be applied to various kinds of data. The only requirement is that a ranking of the targets be extracted from the sensors.

Paper Details

Date Published: 27 July 1999
PDF: 6 pages
Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); doi: 10.1117/12.357173
Show Author Affiliations
James R. Parker, Univ. of Calgary (Canada)


Published in SPIE Proceedings Vol. 3720:
Signal Processing, Sensor Fusion, and Target Recognition VIII
Ivan Kadar, Editor(s)

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