Study on automatic clustering of sound speed profile in the ocean

XIE Jun; HUN Jun-chuan; DA Liang-long; LI Yu-yang; LU Xiao-ting

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XIE Jun, HUN Jun-chuan, DA Liang-long, LI Yu-yang, LU Xiao-ting. Study on automatic clustering of sound speed profile in the ocean[J]. Haiyang Xuebao, 2009, 31(2): 34-39.

Citation:

XIE Jun, HUN Jun-chuan, DA Liang-long, LI Yu-yang, LU Xiao-ting. Study on automatic clustering of sound speed profile in the ocean[J]. Haiyang Xuebao, 2009, 31(2): 34-39.

XIE Jun, HUN Jun-chuan, DA Liang-long, LI Yu-yang, LU Xiao-ting. Study on automatic clustering of sound speed profile in the ocean[J]. Haiyang Xuebao, 2009, 31(2): 34-39.

Citation:

XIE Jun, HUN Jun-chuan, DA Liang-long, LI Yu-yang, LU Xiao-ting. Study on automatic clustering of sound speed profile in the ocean[J]. Haiyang Xuebao, 2009, 31(2): 34-39.

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Study on automatic clustering of sound speed profile in the ocean

Underwater Acoustical Environment Database Center, Naval Submarine Academy, Chinese People's Liberation Army, Qindao 266071, China

Received Date: 2008-10-06
Rev Recd Date: 2008-12-15

Abstract

Abstract

Oceanic region is classified as Ⅰ,Ⅱ and Ⅲ types based on the structures of sound speed profiles of surface layer, main thermocline and deep isothermallayer.The sound speed profiles of surface layer, Ⅱ and Ⅲ oceanic region types are separated with sequential clustering analysis arithmetic.Sound speed gradient profile sample database is estahlished through normalization process and A kima sampling method for the sound speed profiles which are derived from 30'×30' latitude-longitude historical statistic data of mixed layer of the sound speed profile for every month.Hierar chical clustering and SOFM neural network clustering analysis arithmetic is performed to classify the sound speed profile based on the sample database.Representative types of the sound speed profile are summarized depended on clustering result and acoustic character istics of different oceanic region types.The classification results based on a great deal of historical statistic sound speed profile show that the above-mentioned method is a efficient technology road map to automatic classification of sound speed profile in the ocean and makes up for manual classification all along.
- sound speed profile,
- sound speed profile type,
- clustering analysis,
- neural network,
- feature abstract

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References(12)

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