路基勘查工程微动探测成像与滤波分析

在路基勘查工程中，微动探测方法是一种非常有效的获取地下横波速度分布的地球物理技术，该方法的一个关键步骤是清晰地将面波频散能量进行成像，并准确地将其进行识别，从而提取出真实的面波频散曲线。频散能量成像需要将面波数据从时间-空间（t-x）域变换到频率-相速度（f-v）域，目前已有包括空间自相关法等多种成熟算法可以实现该变换。不过，目前的各种成像技术往往会同时产生有很多线性混叠，其强度甚至超过面波频散能量，从而引起频散曲线拾取的困扰，波长域扫描的滤波方法，可以在一定程度上消除线性混叠的影响，效果良好。

Imaging and Filtering of Microtremor Detection in Subgrade Survey Engineering

In subgrade survey engineering, microtremor detection method is a very effective geophysical technique to acquire underground shear-wave velocity distribution. One of the key steps in this method is to clearly image the dispersion energy of the surface wave and correctly identify it so as to extract the accurate surface wave dispersion curve. Imaging dispersive energy needs to transform the surface wave data from the time-space (t-x) domain to the frequency-phase velocity (f-v) domain. Currently, there are several well-developed algorithms available to achieve this transformation, including the spatial autocorrelation method. However, the current imaging techniques often produce a lot of linear aliasing simultaneously, whose intensity may even exceed the surface wave dispersive energy, which causes the difficulty in picking up the dispersion curves. A filtering method based on wavelength-field scanning can eliminate the influence of linear aliasing to a certain extent, and the effect was proved.