Magnetic Anomaly Detection Method Based on Feature Fusion and Isolation Forest Algorithm
Author:
Affiliation:
1. College of Weapons Engineering, Naval University of Engineering, Wuhan, China
2. Unit 92859 of PLA, Tianjin, China
3. Department of Hydropower and Chemical Defense, Dalian Naval Academy, Dalian, China
4. Unit 91977 of PLA, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09852660.pdf?arnumber=9852660
Reference34 articles.
1. Research on interference mitigatiom and target detection of airborne magnetic anomaly detection;zhao,2019
2. Gear fault diagnosis based on dual-tree complex wavelet packet and SVM;qian;J Command Control,2021
3. Application and development of marine magnetic surveying technology;sun;Hydrographic Surveying and Charting,2019
4. Investigations on the theory and method of magnetic anomaly detection;wan,2018
5. Investigations on magnetic anomaly detection based on neural network;shuchang,2019
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