Aeromagnetic compensation with partial least square regression
Aeromagnetic compensation with partial least square regression
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DOI：
10.1071/aseg2016ab300
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
Dailei Zhang;Danian Huang;Junwei Lu;Boyuan Zhu
中科院分区：
文献类型：
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作者：
Dailei Zhang;Danian Huang;Junwei Lu;Boyuan Zhu
磁法勘探在区域地质调查和探测地下磁异常地质体中具有重要作用。目前，航空磁测以其效率高、成本低、受地形限制小等优点得到了广泛应用。磁补偿是测量数据预处理中的一个关键步骤，目前已采用了多种方法。本文采用偏最小二乘法来完成航磁补偿。偏最小二乘回归常用于寻找两个矩阵之间的基本关系。它结合了线性回归分析、典型相关分析和主成分分析。它适用于自变量间存在多重共线性的数据，且变量数大于观测值数。在补偿前，需要进行视差校正、日变校正、地磁场校正和高频噪声去除等预处理。这将为我们提供更高质量的磁测数据，使补偿过程更加准确。在此基础上，利用偏最小二乘法对飞机机动干扰下的航磁数据进行补偿。从仿真结果可以看出，该方法可以将干扰信号降低到很低的程度，取得了满意的补偿效果。偏最小二乘回归法在航磁补偿应用中是一种稳定有效的方法。
Magnetic exploration plays a significant role in regional geological investigation and detection of underground geological bodies with magnetic anomaly. At the moment, aeromagnetic survey is widely applied for its high efficiency, low cost and less subject to terrain restrict. Magnetic compensation is a key step in pre-processing survey data and several methods have been used. In this paper, we would use partial least square method to complete aeromagnetic compensation. Partial least square regression is frequently used to find the fundamental relations between two matrices. It combines linear regression analysis, canonical correlation analysis and principal components analysis. It can be applied into data with multicollinearity among independent variables and the number of variables is larger than that of observations. Before compensation, we should have several pre-processing steps such as parallax correction, diurnal variations correction, geomagnetic field correction and high-frequency noise removal. This will provide us magnetic data with higher quality and make compensation process more accurate. We set synthetic aeromagnetic data with interference of aircraft’s maneuvers and used partial least square method to do compensation. From the results of simulation, we can see that the interference signal is reduced to a low degree and satisfied compensation effect is obtained. Partial least square regression is a stable and effective method in the application of aeromagnetic compensation.