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...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2024-03-01
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| Colección: | Remote Sensing |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2072-4292/16/7/1115 |
| Etiquetas: |
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