基于磁法数据的边缘识别方法研究——以内蒙古某地区为例

Case study:A research on edge detection methods based on magnetic data in Inner Mongolia

为了准确划分内蒙古某地区的地质体边界和断裂位置,采用解析信号振幅和斜导数法对化极后的高精度磁法数据进行了处理,并将其综合解释结果与利用垂向一阶导数与总水平梯度法的综合解释结果进行了对比分析。通过解析信号振幅和斜导数法综合解释了7条断层和2条岩体分界线,解释结果与实际地质资料吻合较好,而通过垂向一阶导数与总水平梯度法综合解释了6条边界线,与实际资料具有一定误差。说明解析信号振幅和斜导数在识别一些地质体边界和确定某些断裂位置时,具有一定的优势。

To recognize the location of geology body and faults in someplace in Inner Mongolia,we adopted analytical single amplitude and tilt derivative method to process high resolution magnetic data,and the data have been reduced to pole.Then we adopted vertical derivative and total horizontal gradient method to process the same data.The result shows that by analytical single amplitude and tilt derivative method,7faults and 2boundaries of rock mass can be found,and for derivative and total horizontal gradient method,only 6boundaries can be found.The former matches better with geology data.It shows that analytical single amplitude and tilt derivative method have some advantages when it was used to recognize geology bodies and locate the position of faults.