基于三维磁成像的近场磁性体探测

提出一种近场条件下未知磁源的三维磁成像方法.考虑到大多数磁性体不仅受背景磁场磁化，本身也带有较强剩磁，将观测面上的磁场转换为磁场矢量异常模量，并建立目标函数进行最优化求解，以得到符合观测磁场特征的磁性体磁化模型.仿真和实验表明：此方法可有效消除剩磁对反演结果的影响，能够实现对近场多个磁源磁化率分布的成像，验证了所提方法用于探测隐含磁体位置和形状的可行性.

Near-field Ferromagnetic Object Detection Based on 3D Magnetic Imaging

We propose a method for three-dimensional inversion imaging of unknown magnetic sources in near-field conditions. Considering that most magnetic sources are not only magnetized with background magnetic field, but also have strong remanence, we convert magnetic field on observation surface into magnetic field vector anomaly modulus, and establish objective function to optimize solution to get the best match for magnetic field characteristics. Simulations and experiments show that the method eliminates effectively influence of residual magnetism on inversion results, and realizes imaging of magnetic susceptibility distribution of multiple magnetic sources in near field. It shows that the proposed method can be used to detect position and shape of unknown magnetic body.