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Joint Gravity and Magnetic Inversion Using CNNs’ Deep Learning

Enhancing the reliability of inversion results has always been a prominent issue in the field of geophysics. In recent years, data-driven inversion methods leveraging deep neural networks (DNNs) have gained prominence for their ability to address non-uniqueness issues and reduce computational costs...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Zhijing Bai, Yanfei Wang, Chenzhang Wang, Caixia Yu, Dmitry Lukyanenko, Inna Stepanova, Anatoly G. Yagola
Hōputu: Artigo
Reo:Inglês
I whakaputaina: MDPI AG 2024-03-01
Rangatū:Remote Sensing
Ngā marau:
Urunga tuihono:https://www.mdpi.com/2072-4292/16/7/1115
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