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论文:2019,Vol:37,Issue(1):87-92 |
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引用本文： |
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杨宏晖, 伊淑珍. 基于多核稀疏保持投影的多特征集典型相关分析的水下目标特征融合方法[J]. 西北工业大学学报 |
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YANG Honghui, YI Shuzhen. Underwater Acoustic Target Feature Fusion Method Based on Multi-Kernel Sparsity Preserve Multi-Set Canonical Correlation Analysis[J]. Northwestern polytechnical university |
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| 基于多核稀疏保持投影的多特征集典型相关分析的水下目标特征融合方法 |
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| 杨宏晖, 伊淑珍 |
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| 西北工业大学 航海学院, 陕西 西安 710072 |
| 摘要: |
| 针对水下目标识别特征样本集高维小样本问题，提出了基于多核稀疏保持投影的多特征集典型相关分析的水下目标特征融合方法。该方法用多特征集典型相关分析算法对多域特征的整体相关程度进行定量分析，去除冗余和噪声特征，实现多域特征的融合，并利用多核稀疏保持投影算法，对提取的多域特征样本的稀疏重构性加以约束，增强了特征的判别能力。利用实测舰船辐射噪声数据验证基于核稀疏保持投影的多特征集典型相关分析的水下目标特征融合方法的有效性，与多特征集典型相关分析方法和核稀疏保持投影典型相关分析方法进行了对比，实验研究表明，提出的方法可以有效去除冗余和噪声特征，实现多域水下目标特征的融合，提高水下目标的识别正确率。 |
| 关键词:
多特征集典型相关分析
核稀疏保持投影算法
特征融合
水下目标识别
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| Underwater Acoustic Target Feature Fusion Method Based on Multi-Kernel Sparsity Preserve Multi-Set Canonical Correlation Analysis |
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| YANG Honghui, YI Shuzhen |
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| School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China |
| Abstract: |
| To solve high-dimensional and small-sample-size classification problem for underwater target recognition, a new feature fusion method is proposed based on multi-kernel sparsity preserve multi-set canonical correlation analysis. The multi-set canonical correlation analysis algorithm is used to quantitatively analyze the correlation of multi-domain features, remove redundant and noise features, in order to achieve multi-domain feature fusion. The multi-kernel sparsely preserved projection algorithm is used to constrain the sparse reconstruction of the extracted multi-domain feature samples, which enhances the feature's classification ability. Results of applying real radiated noise datasets to underwater target recognition experiments show that our new method can effectively remove the redundancy and noise features, achieve the fusion of multi-domain underwater target features, and improve the recognition accuracy of underwater targets. |
| Key words:
canonical correlation analysis
kernel sparsity preserving projections
feature fusion
underwater acoustic target recognition
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| 收稿日期: 2018-03-01
修回日期:
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| DOI: 10.1051/jnwpu/20193710087 |
| 基金项目: 盲信号处理重点实验室基金、国家自然科学基金（11574250）与水下测控技术重点实验室基金资助 |
| 通讯作者:
Email： |
| 作者简介: 杨宏晖(1971-),女,西北工业大学副教授、博士,主要从事水声信号处理及模式识别研究。
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