By Yizhen Wang.
This is a Keras implementation of A Deep Neural Network Based Method for Magnetic Anomaly Detection. with datasets and pretrained models.
If you use these models in your research, please cite:
@article{wang2022deep,
title={A deep neural network based method for magnetic anomaly detection},
author={Wang, Yizhen and Han, Qi and Zhao, Guanyi and Li, Minghui and Zhan, Dechen and Li, Qiong},
journal={IET Science, Measurement \& Technology},
volume={16},
number={1},
pages={50--58},
year={2022},
publisher={Wiley Online Library}
}
Figure 1: The architecture of MADRN.
Download or generate the datasets like the given datasets form, and put them in the in the datasets folder.
The datasets is avaliable at: https://drive.google.com/drive/folders/1p5xO6Ptx5RJnOvCdoH5DmcP3_g1Hu4pA?usp=drive_link
To install requirements:
pip install -r requirements.txt
To run MADRN with different parameters in the paper, run this command:
python ./tests/Training_all.py
To run the MADRN in the paper, run this command:
python ./tests/Test.py