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A novel method of underwater multitarget classification based on Multidimensional Scaling analysis

  • Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

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.

源语言英语
主期刊名ICSP2010 - 2010 IEEE 10th International Conference on Signal Processing, Proceedings
361-364
页数4
DOI
出版状态已出版 - 2010
活动2010 IEEE 10th International Conference on Signal Processing, ICSP2010 - Beijing, 中国
期限: 24 10月 201028 10月 2010

出版系列

姓名International Conference on Signal Processing Proceedings, ICSP

会议

会议2010 IEEE 10th International Conference on Signal Processing, ICSP2010
国家/地区中国
Beijing
时期24/10/1028/10/10

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