| 一种基于稀疏表示声纳图像识别方法 |
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| 引用本文： | 郝燕玲,王梁,张振兴.一种基于稀疏表示声纳图像识别方法[J].中国航海,2011,34(3). |
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| 作者姓名： | 郝燕玲 王梁 张振兴 |
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| 作者单位： | 哈尔滨工程大学自动化学院,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金(60904087) |
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| 摘 要： | 提出了一种基于灰度-梯度共生矩阵的稀疏表示声纳图像识别方法.该方法采用灰度-梯度共生矩阵对声纳图像进行特征提取,特征提取结果相比全局的特征提取包含了声纳图像的重要的纹理信息；并结合稀疏表示的分类方法对声纳图像进行识别.实验表明,该方法既满足了对声纳图像进行识别实时性,又提高了识别的准确性.
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| 关 键 词： | 船舶、舰船工程 声纳图像识别 灰度-梯度共生矩阵 稀疏表示 特征 纹理信息 |
Gray Level-Gradient Co-Occurrence Matrix Based Sparse Representation for Sonar Image Recognition |
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| Hao Yanling,Wang Liang,Zhang Zhenxing.Gray Level-Gradient Co-Occurrence Matrix Based Sparse Representation for Sonar Image Recognition[J].Navigation of China,2011,34(3). |
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| Authors: | Hao Yanling Wang Liang Zhang Zhenxing |
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| Institution: | Hao Yanling,Wang Liang,Zhang Zhenxing(College of Automation,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | This paper proposes a new sonar image recognition method based on gray level-gradient co-occurrence matrix sparse representation.The gray level-gradient co-occurrence matrix is used to extract the feature of sonar images.Compared with the result of global feature extraction,the result of this new method contains important texture information.The sonar image is recognized by sparse representation classification.The simulation result shows that the proposed method not only recognizes the sonar image in real t... |
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| Keywords: | ship naval engineering sonar image recognition gray level-gradient co-occurrence matrix sparse representation feature texture information |
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