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Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements

机译:全局收敛和自适应有限元方法在成像中的应用   来自实验后向散射雷达测量的埋藏物体

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摘要

We consider a two-stage numerical procedure for imaging of objects buried indry sand using time-dependent backscattering experimental radar measurements.These measurements are generated by a single point source of electric pulsesand are collected using a microwave scattering facility which was built at theUniversity of North Carolina at Charlotte. Our imaging problem is formulated asthe inverse problem of the reconstruction of the spatially distributeddielectric permittivity $\varepsilon_\mathrm{r}\left(\mathbf{x}\right), \\mathbf{x}\in \mathbb{R}^{3}$, which is an unknown coefficient in Maxwell'sequations. On the first stage an approximately globally convergent method is applied toget a good first approximation for the exact solution. On the second stage alocal adaptive finite element method is applied to refine the solution obtainedon the first stage. The two-stage numerical procedure results in accurateimaging of all three components of interest of targets: shapes, locations andrefractive indices. In this paper we briefly describe methods and present newreconstruction results for both stages.
机译:我们考虑使用时变反向散射实验雷达测量法对埋在干沙中的物体进行成像的两阶段数值程序,这些测量值是由单点电脉冲源生成的,并使用由北大学(University of North)建立的微波散射设备进行收集卡罗莱纳州夏洛特市。我们的成像问题被公式化为重建空间分布介电常数$ \ varepsilon_ \ mathrm {r} \ left(\ mathbf {x} \ right),\\ mathbf {x} \ in \ mathbb {R} ^的逆问题{3} $,这是麦克斯韦方程组的未知系数。在第一阶段,应用近似全局收敛的方法来获得精确解的良好第一近似。在第二阶段,应用局部自适应有限元方法来细化在第一阶段获得的解。两阶段的数值程序可以精确成像目标的所有三个组成部分:形状,位置和折射率。在本文中,我们简要描述了方法,并给出了两个阶段的新重建结果。

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