The clustering algorithm of marine environment vector field data based on “Velocity-Direction” histogram

Junda Zhang; Xiao-an Tang; Libing Jiang

doi:10.1117/12.2031424

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27 October 2013 The clustering algorithm of marine environment vector field data based on “Velocity-Direction” histogram

Junda Zhang, Xiao-an Tang, Libing Jiang

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Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 891909 (2013) https://doi.org/10.1117/12.2031424
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

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Junda Zhang, Xiao-an Tang, and Libing Jiang "The clustering algorithm of marine environment vector field data based on “Velocity-Direction” histogram", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891909 (27 October 2013); https://doi.org/10.1117/12.2031424

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