| Pautomatic Sea Target Detection Based on Wavelet Transform |
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| 作者姓名： | 裴立力 罗海波 |
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| 作者单位： | PEI Li-li(College of Physics and Electronics, Shanxi University, Taiyuan 030006, Shanxi, China);LUO Hai-bo(Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China)
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| 摘 要： | An effective automatic target detection algorithm based on wavelet transform, which takes advantage of the localization and the orientation of wavelet analysis, is proposed. The algorithm detects the target in the vertical component of the wavelet transformation of the image. After mutual energy combination and sea clutter suppression through spatial weighting and thresholding, the target is located through maximum energy determination and its size is indicated through similarity measurement function of two overlapping windows. Experiment results show that the target can be detected by the algorithm in a single image frame and the better efficiency can be obtained also under the complicated backgrounds of existing the disturbances of cloud layer and fish scale light.
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| 关 键 词： | 小波变换 目标检测 海上 测算法 小波分析 垂直分量 杂波抑制 度量函数 |
Pautomatic Sea Target Detection Based on Wavelet Transform |
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| PEI Li-li,LUO Hai-bo.Pautomatic Sea Target Detection Based on Wavelet Transform[J].Journal of China Ordnance,2009,5(1):36-40. |
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| Authors: | PEI Li-li LUO Hai-bo |
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| Affiliation: | [1]College of Physics and Electronics, Shanxi University, Taiyuan 030006, Shanxi, China [2]Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, Liaoning, China |
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| Abstract: | An effective automatic target detection algorithm based on wavelet transform, which takes advantage of the localization and the orientation of wavelet analysis, is proposed. The algorithm detects the target in the vertical component of the wavelet transformation of the image. After mutual energy combination and sea clutter suppression through spatial weighting and thresholding, the target is located through maximum energy determination and its size is indicated through similarity measurement function of two overlapping windows. Experiment results show that the target can be detected by the algorithm in a single image frame and the better efficiency can be obtained also under the complicated backgrounds of existing the disturbances of cloud layer and fish scale light. |
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| Keywords: | information processing target detection wavelet analysis mutual energy combination maximum energy determination |
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