A deep neural network based method for magnetic anomaly detection
Author:
Affiliation:
1. School of Computer Science and Technology Harbin Institute of Technology Harbin China
2. School of International Studies Harbin Institute of Technology Harbin China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/smt2.12084
Reference38 articles.
1. Fromm W.E.:The magnetic airborne detector. In:Advances in Electronics and Electron Physics pp.257–299.Elsevier New York(1952)
2. A Novel Method of Localization for Moving Objects with an Alternating Magnetic Field
3. Active Magnetic Anomaly Detection Using Multiple Micro Aerial Vehicles
4. Geometric modeling of underground ferromagnetic pipelines for magnetic dipole reconstruction-based magnetic anomaly detection
5. Magnetic anomaly detection (MAD) of ferromagnetic pipelines using principal component analysis (PCA)
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