Detection, Location, and Classification of Multiple Dipole-like Magnetic Sources Based on L2 Norm of the Vertical Magnetic Gradient Tensor Data
Lin Ge, Qi Han, Xiaojun Tong, Yizhen Wang
Finding hidden magnetic objects is difficult when their signals overlap. This study offers a way to count, locate, and distinguish several magnetic sources even when one source’s field covers another. What if the usual magnetic tilt angle can mistake interacting sources for extra anomalies? This paper replaces it with a gradient-based angle designed to count sources even when their inclinations have opposite signs.