Research of the Reliability Coefficient in Information Fusion

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Apr 2009Publisher:IEEEJournal:2009 International Conference on Signal Acquisition and Processing

Authors: Fei Xia; Hao Zhang 0007; Daogang Peng; Hui Li 0049; Longhu Xu; Ling Yang;

doi: 10.1109/icsap.2009.26

Research of the Reliability Coefficient in Information Fusion

- Summary
- Metrics

Abstract

The high quality of the information source can improve the accuracy of target recognition when data is fused via multi-information sources. In this paper, it proposes a new method to determine the reliability coefficient of the information source by information criterion. With calculating the reliabilities of information sources, the more reliable source would be used in the combination process to improve the recognition rate. The experiment results prove that the better results will be obtained with the reliability coefficient to choose the source in information fusion.

Related Organizations

Shanghai University of Electric Power
China (People's Republic of)
Shanghai University
China (People's Republic of)
Shanghai University
China (People's Republic of)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average