基于最小二乘法的均衡滤波器在高密度电法数据处理中的应用

Application of Equalization Filter Based on Least Square Method in Electric Method Data Processing

最小二乘法均衡滤波器是二维滤波器,其滤波窗口是一个面积单元。最小二乘法均衡滤波器对原始数据中的单点及线型跳度异常具有很强的压制作用。使用该滤波器时应首先剔除飞点,然后再选择合适窗口对原始数据进行滤波处理。内蒙古某露天煤矿采空区勘探及陕西南部某铁路路基勘探表明,选用与平滑点相邻的8点组成的面积单元进行均衡滤波,可有效突出高阻异常及低阻异常,并准确推断土岩界面、采空区巷道、破碎带及断层位置。

The least square method equalization filter is a kind of 2D filter; its filtering window is surface area element. The filter has strong suppression on single point and linear skip anomalies in original data. To use the filter should eliminate flying spot first, then select appropriate window and carry out original data filtering. The prospecting of a surface coalmine in the Inner Mongolia and a railway roadbed in southern Shaanxi demonstrated that equalization filtering of surface area element composed of 8 points contiguous to a smoothing point can give prominence to high and low resistance anomalies effectively and correctly deduce rock and soil boundary, gob road, fracture zone and fault positions.