Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)

Research on Multi-Source Information Fusion Technology

Authors
Hong-Xia Li, Xiao-Fei Guo
Corresponding Author
Xiao-Fei Guo
Available Online 17 February 2020.
DOI
10.2991/assehr.k.200207.005How to use a DOI?
Keywords
data fusion, information fusion, function model
Abstract

Multi-source information fusion technology has developed rapidly since it was publicly proposed in the 20th century. The article first reviewed the development history of information fusion. Combining domestic and foreign research results and current situation, this paper introduced several classical functional models of information fusion and the mathematical theoretical support of information fusion. Finally, the application status of multi-source information fusion technology was summarized systematically.

Copyright
© 2020, 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 International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 February 2020
ISBN
10.2991/assehr.k.200207.005
ISSN
2352-5398
DOI
10.2991/assehr.k.200207.005How to use a DOI?
Copyright
© 2020, 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  - Hong-Xia Li
AU  - Xiao-Fei Guo
PY  - 2020
DA  - 2020/02/17
TI  - Research on Multi-Source Information Fusion Technology
BT  - Proceedings of the International Academic Conference on Frontiers in Social Sciences and Management Innovation (IAFSM 2019)
PB  - Atlantis Press
SP  - 24
EP  - 28
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200207.005
DO  - 10.2991/assehr.k.200207.005
ID  - Li2020
ER  -