TopoRSNet: A Unique Approach to Maintaining Topological Features for Digital Rock Image Rescaling With Minimal Quality Degradation
Abstract The composition, microstructure, and physical behavior of rock at the core‐to‐pore scale are commonly visualized and characterized using 3D X‐ray microcomputed tomography (micro‐CT). However, a key geophysical problem in micro‐CT rock characterization is how to efficiently handle and proces...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024JH000557 |
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