Work

A magnetic anomaly detection method based on variational mode extraction and adaptively weighted orthogonal basis function under magnetic gradient tensor

Year: 2025

Type: article

Abstract: In order to improve the detection effect of magnetic anomaly detection methods on weak magnetic anomalies with low signal-to-noise ratio (SNR), a method utilizing variational mode extraction (VME) and adaptive weighted orthogonal basis function (OBF) based on magnetic gradient tensor is proposed in this paper. Firstly, the effect of noise reduction preprocessing on the basis function matching process of the OBF method is analysed, and based on these analyses, a new set of OBFs is obtained using VME. Then, an adaptively assigning method of energy weight based on the magnetic angle of the observation position is proposed, which can solve the problem that the SNR of the total energy calculated by direct summation is low, due to the inconsistent contributions of different projection elements to the total energy in the full magnetic gradient OBF method. Finally, the improved OBF method is combined with the weight assignment strategy. The results of simulations and experiments show that the strategy of weight assignment based on the magnetic angle is effective, even for weak magnetic anomalies with low SNR. The method has a good detection performance and can locate the anomalies accurately.

Source: Measurement Science and Technology

DOI: 10.1088/1361-6501/ae03e1

Authors: Wanyu Zhan, Chengdong Wang, Chengfei Peng, Xin Hou, Yong Chen

Institution: University of Electronic Science and Technology of China

Language: English

Topic: Geophysical Methods and Applications

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,325

Funder: National Natural Science Foundation of China