TopoRSNet: A Unique Approach to Maintaining Topological Features for Digital Rock Image Rescaling With Minimal Quality Degradation

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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Bibliographic Details
Main Authors: Kunning Tang, Yufu Niu, Ying DaWang, Vanessa Robins, Peyman Mostaghimi, Mark Lindsay, Ryan T. Armstrong
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Journal of Geophysical Research: Machine Learning and Computation
Subjects:
digital rock
X‐ray micro‐computed tomography
image rescaling
deep learning
persistent homology
feature preservation
Online Access:https://doi.org/10.1029/2024JH000557
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https://doi.org/10.1029/2024JH000557

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