The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Bookmark and Share
Detecting Outliers of Multibeam Sounding Data Based on BEMD and LS-SVM
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.
Related Articles
No related articles found