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

Fuzzy Clustering for Military Decision Analysis with Remote Sensing Information

Authors
Jifeng Yang, Yongzhi Liu, Bingjie Liu, Weiliang Chen
Corresponding Author
Jifeng Yang
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.52How to use a DOI?
Keywords
Fuzzy C-means Clustering, Sea Winds, Wave, Current, Sea surface temperature gradient
Abstract
In ocean military actions, there are many environmental factors to influent the military decision. In this paper, the fuzzy C-means(FCM) clustering is used to evaluate the influents of ocean environment, including sea winds, sea wave, sea current and the sea surface temperature gradient in military game. To different military application, the influence coefficient are different, in this paper a weighting exponent is import to estimate the influence grade of the entire ocean environment. The experimental results demonstrate that this algorithm’s utility in the classification of ocean area of military game.
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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
https://doi.org/10.2991/isccca.2013.52How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jifeng Yang
AU  - Yongzhi Liu
AU  - Bingjie Liu
AU  - Weiliang Chen
PY  - 2013/02
DA  - 2013/02
TI  - Fuzzy Clustering for Military Decision Analysis with Remote Sensing Information
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 209
EP  - 212
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.52
DO  - https://doi.org/10.2991/isccca.2013.52
ID  - Yang2013/02
ER  -