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Detecting Outliers of Multibeam Sounding Data Based on BEMD and LS-SVM
Author(s): 
Pages: 43-46,50
Year: Issue:  4
Journal: Hydrographic Surveying and Charting

Keyword:  multibeam sounding systemoutliersintrinsic mode functionbidimensional empirical mode decompositionleast squares support vector machine;
Abstract: A method of detecting outlier of multibeam sounding based on BEMD and LSSVM is proposed for the nonlinear characteristics of multi-beam depth data.First,decompose the data into a number of functions in different frequencies using the method of BEMD;then,detect the outliers in IMF1 and IMF2 with the method of LSSVM;last,the outliers of original depth data was detected by the two outliers before.The feasibility of the method is proved by experiment,and better than the single model in defecting outliers.
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