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首页> 外文期刊>Journal of Electromagnetic Waves and Applications >Two-and-half dimensional reconstruction of buried tunnel and pipes from cross-borehole and reflection measurements by using a genetic and Levenburg-Marquardt hybrid algorithm
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Two-and-half dimensional reconstruction of buried tunnel and pipes from cross-borehole and reflection measurements by using a genetic and Levenburg-Marquardt hybrid algorithm

机译:利用遗传和Levenburg-Marquardt混合算法从跨孔和反射测量二维重建地下隧道和管道

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摘要

It is shown that the distribution of the permittivity and the conductivity of the scattering object is obtained from its scattered fields by, the iterative inversion in the spectral domain. Analytic formulation shows that the ill-posedness is caused by the evanescent modes of the measured scattered fields that amplify exponentially its measurement errors in the back-propagation process and filtering out all the evanescent modes in the spectral domain cost functional regularizes the ill-posedness of the inversion at the expense of the resolution. The resolution of reconstruction obtained by keeping all the propagating modes and filtering out the evanescent modes for the regularization becomes half a wavelength. The condition for assuring the single global minimum of the cost functional is shown in terms of the number of the measured data points and the hybrid algorithm combining the genetic and the Levenberg-Marquardt algorithms find its global minimum effectively. This iterative inversion with the hybrid algorithm is shown to locate and identify the deep air tunnel and two closely located circular pipes of conducting and dielectric by finding up to 12 physical parameters of the complex dielectric constants, sizes, positions of the object, and the complex dielectric constants of the background earth medium. [References: 19]
机译:结果表明,散射对象的介电常数和电导率的分布是通过在光谱域中的迭代反演从其散射场获得的。解析公式表明,不适定性是由测得的散射场的the逝模引起的,其在反向传播过程中呈指数方式放大了其测量误差,并在频谱域中滤除了所有e逝模,成本函数使functional不适定反转会以解决方案为代价。通过保留所有传播模式并滤除渐逝模式以进行正则化而获得的重建分辨率变为半个波长。根据测得的数据点的数量显示了确保成本函数的单个全局最小值的条件,并且结合了遗传算法和Levenberg-Marquardt算法的混合算法可以有效地找到其全局最小值。通过使用混合算法进行的这种迭代反演,可以通过找到多达12个物理参数(包括复数介电常数,尺寸,物体的位置和复数)来定位和识别深空隧道以及两个紧邻的导电和电介质圆形管道。背景地球介质的介电常数。 [参考:19]

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