Fuzzy Clustering for Military Decision Analysis with Remote Sensing Information

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 algorithms utility in the classification of ocean area of military game.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 3085-3088
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.3085
• Online since: August 2013
• Authors: Ji Feng Yang, Yong Zhi Liu, Bing Jie Liu, Wei Liang Chen
• Keywords: Current, Fuzzy C-Means Clustering, Sea Surface Temperature Gradient, Sea Winds, Wave

References

[1] Kachouie, Nezamoddin N., Alirezaie, Javad, Raahemifar, Kaamran. Genetically derived fuzzy C-means clustering algorithm for segmentation. Canadian Conference on Electrical and Computer Engineering, 2003, v 2, 1119-1122.

DOI: 10.1109/ccece.2003.1226093

[2] Ronhua Tao, Jie Chen, Biao chen, Chuihua Liu. GLCM and Fuzzy Clustering for Ocean Features Classification. Proc of the 2010 IEEE Int'l. Conf on MVHI, 1340-1343.

[3] Xizhao Wang, Yadong Wang, Lijuan Wang. Improving fuzzy c-means clustering based on feature-weight learning. Pattern Recognition Letters 25(2004) 1123-1132.

DOI: 10.1016/j.patrec.2004.03.008

[4] Krinidis, S. A Robust Fuzzy Local Information C-Means Clustering Algorithm. Image Processing, IEEE Transactions on Date of Publication: May 2010, Volume: 19, Issue: 5 , Page(s): 1328 – 1337.

DOI: 10.1109/tip.2010.2040763

[5] Sivakumar, S., Chandrasekar, C. Lungs image segmentation through weighted FCM. Recent Advances in Computing and Software Systems (RACSS), 2012 International Conference, Page(s): 109 – 113.

DOI: 10.1109/racss.2012.6212707

[6] Zhang D, Kamel M, Elmasry M. Fuzzy clustering neural network(FCNN): competitive learning and parallel architecture. Intellingent and Fuzzy Systems, v 2, 289-298(1994).

DOI: 10.3233/ifs-1994-2402

[7] Yu J, Huan HK, Tian SF. An efficient optimality test for the fuzzy C-means algorithm. Proc of the 2002 IEEE Int'l. Conf on Fuzzy Systems. 789-795(2002).

[8] Tian Junwei, Huang Yongxuan. Histogram Constraint Based Fast FCM Cluster Image Segmentation. Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on Topic(s): Components, Circuits, Devices & Systems ; Computing & Processing (Hardware/Software) ; Power, Energy, & Industry Applications. Page(s): 1623 - 1627.

DOI: 10.1109/isie.2007.4374847