Ab'/> GPR impedance inversion for imaging and characterization of buried archaeological remains: A case study at Mudu city cite in Suzhou, China
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GPR impedance inversion for imaging and characterization of buried archaeological remains: A case study at Mudu city cite in Suzhou, China

机译:GPR阻抗埋藏考古遗骸的成像和表征的反演:中国苏州Mudu City Cite的案例研究

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AbstractAs a method with high resolution, GPR has been extensively used in archaeological surveys. However, conventional GPR profile can only provide limited geometry information, such as the shape or location of the interface, but can't give the distribution of physical properties which could help identify the historical remains more directly. A common way for GPR to map parameter distribution is the common-midpoint velocity analysis, but it provides limited resolution. Another research hotspot, the full-waveform inversion, is unstable and relatively dependent on the initial model. Coring method could give direct information in drilling site, while the accurate result is only limited in several boreholes. In this paper, we propose a new scheme to enhance imaging and characterization of archaeological targets by fusion of GPR and coring data. The scheme mainly involves the impedance inversion of conventional common-offset GPR data, which uses well log to compensate GPR data and finally obtains a high-resolution estimation of permittivity. The core analysis result also contributes to interpretation of the inversion result. To test this method, we did a case study at Mudu city site in Suzhou, China. The results provide clear images of the ancient city's moat and wall subsurface and improve the characterization of archaeological targets. It is shown that this method is effective and feasible for archaeological exploration.Highlights
机译:<![cdata [ 抽象 作为具有高分辨率的方法,GPR已广泛用于考古调查。然而,传统的GPR简档只能提供有限的几何信息,例如界面的形状或位置,但不能给出物理性质的分布,这可以帮助识别历史遗迹更直接。 GPR映射参数分布的常见方法是常见的中点速度分析,但它提供了有限的分辨率。另一个研究热点,全波形反转,不稳定,相对依赖于初始模型。芯片方法可以在钻井场所提供直接信息,而准确的结果仅限于几个钻孔。在本文中,我们提出了一种新的方案,通过GPR和芯数据融合来增强考古靶标的成像和表征。该方案主要涉及传统的常见偏移GPR数据的阻抗反转,它使用井日志来补偿GPR数据,最后获得高分辨率的介电常数估计。核心分析结果也有助于解释反演结果。为了测试这种方法,我们在中国苏州的Mudu City网站进行了一个案例研究。结果提供了古城护城河和墙壁地下的清晰图像,提高了考古目标的特征。结果表明,这种方法对于考古勘探是有效和可行的。 突出显示

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