| 基于小波包分解的水下物体探测仪目标特征提取 |
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| 引用本文： | 张明远,于铭.基于小波包分解的水下物体探测仪目标特征提取[J].林业机械与木工设备,2009,37(3). |
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| 作者姓名： | 张明远 于铭 |
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| 作者单位： | 1. 国家林业局哈尔滨林业机械研究所,黑龙江,哈尔滨,150086
2. 哈尔滨工程大学水声工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 研究基于小波包分解的水下物体探测仪水下目标信号的特征提取方法.应用小波包分解来提取水下目标特征能有效地对水下物体探测仪目标信号进行特征提取,然后通过BP神经网络对小波包所提取的目标特征进行分类.对湖上实验数据的处理结果表明,该方法能够有效地提取水下目标辐射噪声的频域能量特征.
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| 关 键 词： | 水下物体探测仪 小波包分解 特征提取 目标识别 |
Wavelet Packet Decomposition-based Feature Extraction of Underwater Detector Targets |
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| ZHANG Ming-yuan,YU Ming.Wavelet Packet Decomposition-based Feature Extraction of Underwater Detector Targets[J].Forestry Machinery & Woodworking Equipment,2009,37(3). |
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| Authors: | ZHANG Ming-yuan YU Ming |
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| Institution: | 1.Harbin Research Institute of Forestry Machinery;the State Forestry Administration;Harbin Heilongjiang 150086;China;2.College of Underwater Acoustic Engineering;Harbin Engineering University;Harbin Heilongjiang 150001;China |
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| Abstract: | Wavelet packet decomposition-based method for feature extraction of underwater target signal picked up by a underwater object detector is studied.The use of wavelet packet decomposition for feature extraction of underwater targets can effectively extract features of target signals collected by the underwater object detector,then the target features obtained by the wavelet packet can be classified using BP neural network.The processing result of experimental data obtained from lakes shows the method can effe... |
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| Keywords: | underwater object detector wavelet packet decomposition feature extraction target identification |
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