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Wang, Jun, Zhou, Zhiwen, Meng, Xiaohong, Liu, Yandong, Fang, Yuan (2023) A Novel Method for Eliminating the Strip-Shaped Interferences in Aeromagnetic Anomaly Based on Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-11 doi:10.1109/tgrs.2023.3239345

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Reference TypeJournal (article/letter/editorial)
TitleA Novel Method for Eliminating the Strip-Shaped Interferences in Aeromagnetic Anomaly Based on Convolutional Neural Network
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsWang, JunAuthor
Zhou, ZhiwenAuthor
Meng, XiaohongAuthor
Liu, YandongAuthor
Fang, YuanAuthor
Year2023Volume61
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2023.3239345Search in ResearchGate
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Mindat Ref. ID15698964Long-form Identifiermindat:1:5:15698964:2
GUID0
Full ReferenceWang, Jun, Zhou, Zhiwen, Meng, Xiaohong, Liu, Yandong, Fang, Yuan (2023) A Novel Method for Eliminating the Strip-Shaped Interferences in Aeromagnetic Anomaly Based on Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-11 doi:10.1109/tgrs.2023.3239345
Plain TextWang, Jun, Zhou, Zhiwen, Meng, Xiaohong, Liu, Yandong, Fang, Yuan (2023) A Novel Method for Eliminating the Strip-Shaped Interferences in Aeromagnetic Anomaly Based on Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-11 doi:10.1109/tgrs.2023.3239345
In(2023) IEEE Transactions on Geoscience and Remote Sensing Vol. 61. Institute of Electrical and Electronics Engineers (IEEE)

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