Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Target Classification Using PAS and Evidence Theory

Authors
Li Jia, Hai Yan, Guohui Li, Hui Zhang
Corresponding Author
Li Jia
Available Online February 2013.
DOI
10.2991/isccca.2013.118How to use a DOI?
Keywords
Dempster-Shafer theory, probabilistic argumenta-tion system (PAS), target classification
Abstract

This paper presents a novel Dempster-Shafer evidence construction approach for aircraft aim recognition. The prior-probability of the properties of aircraft was used for establishing a probabilistic argumentation system. Dempster-Shafer evidence was constructed by assumption- based reasoning. Therefore, additional information could be provided to the classification of the data fusion system. Experiments on artificial and real data demonstrated that the proposed method could improve the classification results.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
10.2991/isccca.2013.118How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Jia
AU  - Hai Yan
AU  - Guohui Li
AU  - Hui Zhang
PY  - 2013/02
DA  - 2013/02
TI  - Target Classification Using PAS and Evidence Theory
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 475
EP  - 478
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.118
DO  - 10.2991/isccca.2013.118
ID  - Jia2013/02
ER  -