A deep neural network based method for magnetic anomaly detection

A deep neural network based method for magnetic anomaly detection

Abstract Magnetic anomaly detection (MAD) is a technique to find ferromagnets hiding in strong and complicated magnetic background. In many practical cases, the targets are very far from the detection sensor, which leads to low signal‐to‐noise ratio (SNR) and high detection difficulty. Most of the c...

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Bibliographic Details
Main Authors: Yizhen Wang, Qi Han, Guanyi Zhao, Minghui Li, Dechen Zhan, Qiong Li
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:IET Science, Measurement & Technology
Subjects:
Ferromagnetic materials
Signal detection
Signal processing theory
Data handling techniques
Other topics in statistics
Online Access:https://doi.org/10.1049/smt2.12084

Internet

https://doi.org/10.1049/smt2.12084

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