Magnetic Anomaly Detection Method Based on Feature Fusion and Isolation Forest Algorithm
In order to improve the weak magnetic detection ability under the background of Gaussian colored magnetic environment noise, a magnetic anomaly detection method based on feature fusion and isolation forest (IForest) algorithm is proposed in this paper. The method uses different feature algorithms to...
Main Authors: | Ning Zhang, Yifei Liu, Lei Xu, Pengfei Lin, Heda Zhao, Ming Chang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9852660/ |
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