A Novel Method of Underwater Multitarget Classification Based on Multidimensional Scaling Analysis

摘要：

In order to solve the problem of robustly classifying underwater multiple targets in shallow sea, a novel classification method based on Multidimensional Scaling (MDS) is proposed. This algorithm extracts the robust and distinct feature difference between targets by means of MDS, and optimizes the feature distance by combining with kernel function. A modified K-means classifier is utilized to cluster the extracted features without knowing the prior information of class number. Experiment results on real sonar detecting data indicate that the classifying probability increases by 13.4％ compared with PCA, and the probability and robustness of underwater target classification are improved effectively.

关键词： target classification underwater multitargets multidimensional scaling distance matrix

作者: Ruhang Wang Jianguo Huang Xiaodong Cui Qunfei Zhang

作者单位: College of Marine Engineering Northwestern Polytechnical University Xi’an 710072, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 361-364

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）