Paper
12 April 2004 Quantitative analysis of spatio-temporal decision fusion based on the majority voting technique
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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.
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Hongwei Wu and Jerry M. Mendel "Quantitative analysis of spatio-temporal decision fusion based on the majority voting technique", Proc. SPIE 5434, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, (12 April 2004); https://doi.org/10.1117/12.541715
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Cited by 5 scholarly publications.
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KEYWORDS
Quantitative analysis

Array processing

Signal processing

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