Research on magnetic detection target recognition method based on residual network combined with magnetic moment estimation

The unexploded ordnance left over from war conflicts and live-fire exercises has a strong invisibility, posing a serious threat to the safety of local residents' lives and property. Based on the idea of removing useless parameters and regressing the main parameters, we decompose the magnetization field of the dipole target into the product of the basis function and the simplified function, and invert the magnetic moment of the dipole. A method that can quickly estimate the magnetic moment of the detection target, and a detection target recognition method using residual network combined with fast magnetic moment estimation is proposed. Through field experiments for comparison and analysis, the Accuracy of this method for detecting three types of targets can reach 89.7%, Recall can reach 80%, and Precision can reach 90.3%, which provides a technical reference for target type recognition of unexploded ordnance based on magnetic detection.