基于IMNSStilt算法的磁源边界识别
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吉林大学仪器科学与电气工程学院 长春 130026

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TN911.7

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国家重点研发计划(2021YFC2202402)项目资助


Magnetic source boundary identification based on IMNSStilt algorithm
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College of Instrument Science and Electrical Engineering, Jilin University, Changchun 130026, China

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    摘要:

    场源边界识别是位场数据解释必不可少的任务,归一化磁源强度(NSS)因不受磁化方向影响而成为磁数据解释的主要方法。针对近场边界识别,单磁源及多磁源边界识别效果发散,以及多磁源边界识别时,磁源间相互耦合,且探测距离较远的磁源难以识别出其几何边界的问题。提出了一种新的磁性目标边界识别方法,在倾斜角边界识别方法中使用二阶偏导数并引入NSS,并将其应用于单个长方体磁源和3个长方体磁源相同平面以及深浅异常的边界识别中。仿真结果表明,所提方法不仅发挥了NSS可以减少磁源间耦合影响和倾斜角对埋深不敏感的优势,而且使用二阶偏导数使得识别出的磁源边界更加收敛。

    Abstract:

    Field source boundary identification is an essential task for interpreting field data, and normalized magnetic source strength (NSS) has become the main method for interpreting magnetic data because it is not affected by magnetization direction. This paper addresses issues related to near-field boundary identification, the divergent effects of single and multiple magnetic source boundary recognition, and the challenges of identifying the geometric boundaries of magnetic sources that are far apart and experiencing mutual coupling during multiple magnetic source boundary identification. A new magnetic target boundary identification method has been proposed, which uses second-order partial derivatives in the inclined angle boundary identification method and introduces NSS. This method is applied to the boundary identification of a single rectangular magnetic source, three rectangular magnetic sources in the same plane, as well as boundaries of deep and shallow anomalies. The simulation results indicate that the method proposed in this paper not only leverages the advantage of NSS in reducing the coupling effects between magnetic sources and the insensitivity of depth to inclination angle, but also allows the recognized magnetic source boundaries to converge more effectively by using second-order partial derivatives.

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周志坚,李笑东,荆志伟,王超,王言章.基于IMNSStilt算法的磁源边界识别[J].电子测量技术,2026,49(12):58-71

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  • 在线发布日期: 2026-09-04
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