Fuzzy Clustering for Military Decision Analysis with Remote Sensing Information
Jifeng Yang, Yongzhi Liu, Bingjie Liu, Weiliang Chen
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.52How to use a DOI?
- Fuzzy C-means Clustering, Sea Winds, Wave, Current, Sea surface temperature gradient
- 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.
- 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 -