DSmT applied to seismic and acoustic sensor fusion

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2011Publisher:IEEEJournal:Proceedings of the 2011 IEEE National Aerospace and Electronics Conference (NAECON)

Authors: Erik P. Blasch; Jean Dezert; Pierre Valin;

doi: 10.1109/naecon.2011.6183082 , 10.5281/zenodo.34801 , 10.5281/zenodo.22449

DSmT applied to seismic and acoustic sensor fusion

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Abstract

In this paper, we explore the use of the Dezert-Smarandache Theory (DSmT) for seismic and acoustic sensor fusion. The seismic/acoustic data is noisy which leads to classification errors and conflicts in declarations. DSmT affords the redistribution of masses when there is a conflict. The goal of this paper is to present an application and comparison on DSmT with other classifier methods to include the support vector machine(SVM) and Dempster- Shafer (DS) methods.

Related Organizations

Defence Research and Development Canada
Canada

Keywords

PCR5, seismic/acoustic data, Area Under the Curve(AUC), DSMT, Information Fusion, Dezert-Smarandache Theory

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