Magnetic Anomaly Detection Based on Full Connected Neural Network

Magnetic Anomaly Detection Based on Full Connected Neural Network

Magnetic anomaly detection (MAD) has been widely used for detecting some hidden ferromagnetic objects. Orthonormal basis function (OBFs) detector is one of the most popular methods of MAD. The OBFs detector works effectively under white Gaussian noise. However, the practical geomagnetic noise is col...

Full description

Bibliographic Details
Main Authors: Shuchang Liu, Zhuo Chen, Mengchun Pan, Qi Zhang, Zhongyan Liu, Siwei Wang, Dixiang Chen, Jingtao Hu, Xue Pan, Jiafei Hu, Peisen Li, Chengbiao Wan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Magnetic anomaly detection
orthonormal basis functions
full connected neural network
noise suppression
Online Access:https://ieeexplore.ieee.org/document/8847347/

Internet

https://ieeexplore.ieee.org/document/8847347/

Similar Items