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基于F-K偏移及最小熵技术的探地雷达成像法 被引量:13

Ground Penetrating Radar Imaging Based on F-K Migration and Minimum Entropy Method
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摘要 地下目标位置和形状的确定是探地雷达实际工程应用中需要解决的主要问题之一,地震信号处理技术中的偏移方法是比较有效的地下目标图像归位方法,介质中的波速度是影响目标图像归位精度的最主要因素。该文在利用图像最小熵方法对介质中波速度进行估计基础上,借助于频率-波数域偏移技术对探地雷达图像进行了处理。分别通过数值模拟图像和探地雷达系统实际探测图像验证了该文方法的有效性。 Estimation of position and shape of the object subsurface is one of the main problems in Ground Penetrating Radar(GPR) application. Migration method in domain of seismic techniques is effective to locate and reshape the object. The electromagnetic wave velocity parameter is the main factor influencing the precision of location. In this paper, the GPR images are handled with frequency-wavenumber migration on the base of applying minimum entropy method to estimate velocity parameter. Experimental results of simulation and GPR data prove its feasibility and validity.
出处 《电子与信息学报》 EI CSCD 北大核心 2007年第4期827-830,共4页 Journal of Electronics & Information Technology
基金 国家自然科学基金(60551002)资助课题
关键词 频率-波数偏移 最小熵 速度估计 Frequency-wavenumber migration Minimum entropy Velocity estimation
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参考文献8

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