异常检测
数据科学
透视图(图形)
计算机科学
管理科学
风险分析(工程)
系统工程
工程伦理学
工程类
人工智能
业务
作者
Huan Liu,Xinglin Zhang,Haobin Dong,Zheng Liu,Xiangyun Hu
标识
DOI:10.1109/jsen.2023.3294498
摘要
Magnetic anomaly detection (MAD) is one of the most effective methods for engineering and environmental geophysical exploration, and plays an important role in scientific research and human technological innovation. Although numerous systematic and valuable articles have been published on the topic of MAD, they only briefly summarized relevant research from an algorithm perspective. Moreover, the practical applications in different scenarios are neglected and a comprehensive review of MAD is still lacking. In this case, it is particularly necessary to implement a comprehensive survey of the relevant publications of MAD, which could help readers to understand the current state-of-the-art techniques conveniently and quickly develop an effective solution to MAD problems in practice. Specifically, the developments of the MAD, mainly consisting of detection models and detection methods, are combed in this article. In addition, the different application scenarios of the MAD have been argued. More importantly, the existing issues and future trends are further discussed. We believe that the work done in this survey could supply convenience and inspiration for the researchers who want to devote their efforts to MAD.
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