Downscaling‐Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples-Reference-Cited by-同舟云学术

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Downscaling‐Based Segmentation for Unresolved Images of Highly Heterogeneous Granular Porous Samples

Published:2018-04 Issue:4 Volume:54 Page:2871-2890
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Korneev S. V.¹,Yang X.²^ORCID,Zachara J. M.³,Scheibe T. D.⁴⁵^ORCID,Battiato I.¹^ORCID

Affiliation:

1. Energy Resources EngineeringStanford UniversityStanford CA USA

2. Geographical ScienceBeijing Normal UniversityBeijing China

3. Fundamental and Computational Sciences DirectoratePacific Northwest National LaboratoryRichland WA USA

4. Energy and Environment DirectoratePacific Northwest National LaboratoryRichland WA USA

5. Environmental Molecular Sciences LaboratoryPacific Northwest National LaboratoryRichland WA USA

Funder

Office of Science

U.S. Department of Energy

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2018WR022886

Reference41 articles.

1. Digital rock physics benchmarks—Part I: Imaging and segmentation

2. Digital rock physics benchmarks—part II: Computing effective properties

3. Image Restoration Based on Morphological Operations

4. On the dispersion of a solute in a fluid flowing through a tube

5. On Veracity of Macroscopic Lithium-Ion Battery Models

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