| 基于EEMD的SAR海洋内波参数反演 |
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| 引用本文： | 汪雄良,王春玲,朱炬波,梁甸农.基于EEMD的SAR海洋内波参数反演[J].测试技术学报,2012(1):1-8. |
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| 作者姓名： | 汪雄良 王春玲 朱炬波 梁甸农 |
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| 作者单位： | 国防科技大学理学院;国防科技大学电子科学与工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(60572136);中国博士后科学基金资助项目(20080441289);中国博士后科学基金特别资助金资助项目(200902663) |
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| 摘 要： | 经验模态分解(EMD)方法对非平稳信号进行分解,容易出现模式混叠和边界效应,从而不能得到有物理意义的特征信息.集成经验模态分解(EEMD)能够有效地克服模式混叠和边界效应问题,可准确地提取信号的本质特征信息.在分析SAR图像反演海洋内波参数机理的基础上,本文提出了一种基于EEMD的海洋内波参数反演方法.实验结果表明:与小波分解和EMD方法相比,该方法能更有效地克服模式混叠现象,所提取的分量更接近内波波动的物理本质,所反演的内波参数与经验数据吻合.
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| 关 键 词： | EEMD SAR图像 内波 参数反演 EMD |
Extracting Internal Wave Parameters From SAR Image Based on Ensemble Empirical Mode Decomposition |
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| WANG Xiongliang,WANG Chunling,ZHU Jubo,LIANG Diannong.Extracting Internal Wave Parameters From SAR Image Based on Ensemble Empirical Mode Decomposition[J].Journal of Test and Measurement Techol,2012(1):1-8. |
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| Authors: | WANG Xiongliang WANG Chunling ZHU Jubo LIANG Diannong |
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| Affiliation: | 1.College of Science,National University of Defense Technology,Changsha 410073,China;2.College of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | Empirical mode decomposition(EMD) sometimes cannot reveal the non-stationary signal characteristics accurately because of the problem of mode mixing and edge effect.Ensemble empirical mode decomposition(EEMD) was developed recently to alleviate this problem.Utilizing the advantage of EEMD,this paper proposes a new EEMD-based extracting method for internal wave parameters from SAR image.The application results indicate that,the EEMD is superior to the wavelet method and the EMD method;EEMD can eliminate mode-mixing, the extracted internal wave component is close to the true physical nature,and the internal wave amplitude retrieved by the method is in agreement with the empirical data. |
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| Keywords: | EEMD SAR Image internal wave parameters extraction EMD |
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