1. Sun, T., Wang, X.H., Wang, J.Q., et al.: Magnetic anomaly detection of adjacent parallel pipelines using deep learning neural networks. Comput. Geosci. 159, 1–9 (2022)
2. Wang, C., Zhang, X.J., Qu, X.D., et al.: A modified magnetic gradient contraction based method for ferromagnetic target localization. Sensors 16(12), 1–13 (2016)
3. Harryel, P., Manhar, D.: Real-time localization of a magnetic anomaly: a study of the effectiveness of a genetic algorithm for implementation on an autonomous underwater. In: Oceans 2018 MTS, pp. 1–7. IEEE, Charleston (2018)
4. Yin, H., Wen, X., Yang, S.S., Zheng, K.H.: Research on the moving ferromagnetic object recognition method based on magnetic anomaly detection. Chin. J. Sci. Instrum. 39(3), 258–264 (2018)
5. Dai, Z.H., Zhou, S.H., Shan, S.: Application research of wavelet transform in ship magnetic field signal detection. J. Detect. Control 42, 14–19 (2020)