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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Full Tensor Eigenvector Analysis on Air-Borne Magnetic Gradiometer Data for the Detection of Dipole-Like Magnetic Sources
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Full Tensor Eigenvector Analysis on Air-Borne Magnetic Gradiometer Data for the Detection of Dipole-Like Magnetic Sources

机译：空气磁梯度仪数据的全张量本征矢量分析用于检测偶极子型磁源

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摘要

The detection of dipole-like sources, such as unexploded ordnances (UXO) and other metallic objects, based on a magnetic gradiometer system, has been increasingly applied in recent years. In this paper, a novel dipole-like source detection algorithm, based on eigenvector analysis with magnetic gradient tensor data interpretation is presented. Firstly, the theoretical basis of the eigenvector decomposition of magnetic gradient tensor is analyzed. Then, a detection algorithm is proposed by using the properties of the tensor eigenvector decomposition to locate dipole-like magnetic sources. The algorithm can automatically detect magnetic dipole-like sources without estimating the magnetic moment direction. It performs well for locating weak, anomalous dipole-like sources in air-borne magnetic data through quantitative interpretation. The effectiveness of the proposed algorithm has been demonstrated in the designed synthetic experiment. Finally, an air-borne magnetic field data taken at high altitude with exact source position information is used to validate the practicality of the proposed algorithm. All of the experiments prove that the proposed algorithm is suitable for magnetic dipole-like source detecting and air-borne magnetic gradiometer data interpretation.
机译：近年来，基于磁梯度仪系统的偶极子源（例如未爆炸弹药（UXO）和其他金属物体）的检测已越来越多地被应用。本文提出了一种基于特征向量分析和磁梯度张量数据解释的新型偶极子源探测算法。首先，分析了磁梯度张量本征矢量分解的理论基础。然后，利用张量本征向量分解的性质提出了一种检测算法，以定位偶极子状的磁源。该算法可以自动检测类似偶极子的磁源，而无需估计磁矩方向。通过定量解释，它可以很好地定位航空磁数据中的弱，异常偶极子状源。设计的综合实验证明了该算法的有效性。最后，在高空获取的机载磁场数据以及精确的源位置信息被用于验证该算法的实用性。所有实验均证明该算法适用于磁偶极子源探测和机载磁梯度仪数据解释。

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