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Proceedings Paper

The clustering algorithm of marine environment vector field data based on “Velocity-Direction” histogram
Author(s): Junda Zhang; Xiao-an Tang; Libing Jiang
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Paper Abstract

Clustering is an effective mean for of marine environment data analysis. This paper proposes a clustering algorithm based on the “Velocity-Direction” histogram. First of all, the “Velocity-Direction” histogram is constructed based on the characteristics of marine environment vector field data. Secondly, the exact surface of histogram is reconstructed by the Gaussian kernel function to eliminate the contaminated data points in “Velocity-Direction” histogram. Finally, the FCM algorithm is introduced and modified for the “Velocity-Direction” histogram clustering. The initial number and clustering centers for the FCM algorithm are set as the local extremum in the constructed histogram surfaces. The experiment results based on the simulation and the NOAA marine environment vector field data verifies the effectiveness of the proposed algorithm.

Paper Details

Date Published: 27 October 2013
PDF: 7 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891909 (27 October 2013); doi: 10.1117/12.2031424
Show Author Affiliations
Junda Zhang, National Univ. of Defense Technology (China)
Xiao-an Tang, National Univ. of Defense Technology (China)
Libing Jiang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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