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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3337413
Abstract: Three-dimensional inversion of magnetic data can obtain the distribution of subsurface magnetic targets. Deep learning is an effective way to achieve 3-D inversion, which trains a neural network to learn the features of magnetic anomaly…
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Keywords:
deep learning;
magnetic data;
learning inversion;
multivariate magnetic ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3600369
Abstract: We describe a mixed machine learning (ML) inversion algorithm for sedimentary basin modeling of gravity data. We consider two typical targets of basin modeling, i.e., the basement depth and the diapirs, both being of fundamental…
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Keywords:
mixed machine;
gravity;
machine learning;
inversion ... See more keywords