Detecting and classifying of physical and geometrical characteristics of the subsurface through the use of computing diagnostics method for ground-penetrating radar

V. N. Sablin, A. Grinev, I. A. Chebakov
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引用次数: 2

Abstract

The method of computational diagnostics has been recently developed to determine the depth of layers and their electrophysical parameters related to structural diagnostics (monitoring of road pavements, runways, etc.). The method of computational diagnostics is based on minimizing a certain smoothing functional, which includes a functional of discrepancy between the resulting measurements of scattered electromagnetic field and the results of a direct model problem, and also a stabilizing functional accounting for a priori data on the electrophysical and geometrical parameters of a sounded object (medium). The solution minimizing this functional is found both by one of the iterative techniques (simple iteration, steepest descent, conjugate gradients, etc.) and direct techniques. The problem discussed is related to the complexity of searching for a global minimum of the finite dimensional spaces of the layer parameters, when this complexity is brought about by the multiple-extremality of the functional. The examples are presented of the actually restored electrophysical and geometrical medium parameters by using a video pulse ultra-wideband ground penetrating radar.
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利用探地雷达计算诊断方法对地下的物理和几何特征进行探测和分类
最近发展了计算诊断方法来确定层的深度及其与结构诊断相关的电物理参数(监测道路路面,跑道等)。计算诊断方法是基于最小化某个平滑泛函,其中包括散射电磁场测量结果与直接模型问题结果之间差异的泛函,以及对发声物体(介质)的电物理和几何参数的先验数据的稳定泛函。最小化这个泛函的解可以通过迭代技术(简单迭代、最陡下降、共轭梯度等)和直接技术找到。所讨论的问题涉及寻找层参数的有限维空间的全局最小值的复杂性,而这种复杂性是由泛函的多重极值引起的。给出了利用视频脉冲超宽带探地雷达实际恢复介质电物理参数和几何参数的实例。
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