海洋测绘2017，Vol.37Issue(4)：43-46,50,5.DOI:10.3969/j.issn.1671-3044.2017.04.009
联合BEMD与LS-SVM的多波束异常数据探测方法
Detecting Outliers of Multibeam Sounding Data Based on BEMD and LS-SVM
摘要
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.关键词
多波束测深系统/异常值/本征模态函数/二维经验模态/最小二乘支持向量机Key words
multibeam sounding system/outliers/intrinsic mode function/bidimensional empirical mode decomposition/least squares support vector machine分类
天文与地球科学引用本文复制引用
赵祥鸿,暴景阳,欧阳永忠,刘聚..联合BEMD与LS-SVM的多波束异常数据探测方法[J].海洋测绘,2017,37(4):43-46,50,5.基金项目
国家自然科学基金(41474012,41374018). （41474012,41374018）
