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Proceedings Paper

Quantitative analysis of spatio-temporal decision fusion based on the majority voting technique
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Paper Abstract

In array signal processing, it is well known that the effective aperture of a physical array can be increased by means of combined spatial and temporal processing of measurements. In the same spirit, the combined decision of an array of experts can be made more accurate by means of spatio-temporal fusion. We propose three approaches to implement spatio-temporal decision fusion based on the majority voting technique, namely overall, space-time and time-space. We compare these three approaches in terms of their implementation costs, and the probability of the fully-combined decision being correct, and conclude that both the overall and the time-space approaches are better choices than the space-time approach.

Paper Details

Date Published: 12 April 2004
PDF: 12 pages
Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); doi: 10.1117/12.541715
Show Author Affiliations
Hongwei Wu, Univ. of Southern California (United States)
Jerry M. Mendel, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5434:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004
Belur V. Dasarathy, Editor(s)

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