High-resolution aeromagnetic map through Adapted-SRGAN: A case study in Québec, Canada

• Published in: Computers & geosciences Vol. 176; p. 105363
• Main Authors: Bavandsavadkoohi, Mojtaba, Cedou, Matthieu, Blouin, Martin, Gloaguen, Erwan, Tirdad, Shiva, Giroux, Bernard
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.07.2023
• Subjects: Airborne magnetic; Convolutional Neural Networks (CNNs); Deep learning; High-resolution map; Super-resolution GAN; Deep learning; Super-resolution GAN; High-resolution map; Airborne magnetic; Convolutional Neural Networks (CNNs)

Due to their cost-effectiveness, aeromagnetic data have been acquired for decades to guide mineral exploration. Aeromagnetic map enhancement is immensely useful as it allows dykes, faults, and other geological structures to be highlighted more clearly, therefore assisting the geologist with a better...