Fuzzy Clustering for Military Decision Analysis with Remote Sensing Information

DOI

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.

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/).

Download article (PDF)

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  - 10.2991/isccca.2013.52
ID  - Yang2013/02
ER  -