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CORRECTION article

Front. Built Environ., 26 August 2025

Sec. Geotechnical Engineering

Volume 11 - 2025 | https://doi.org/10.3389/fbuil.2025.1686647

Correction: Stochastic stratigraphic simulation using image warping from sparse data

  • 1School of Smart Construction and Energy Engineering, Hunan Institute of Engineering, Xiangtan, China
  • 2Hunan Provincial Engineering Research Center for Disaster and Reinforcement of Disease Risk Engineering Structures, Hunan Institute of Engineering, Xiangtan, China
  • 3Department of Civil and Environmental Engineering, University of Dayton, Dayton, OH, United States

A Correction on
Stochastic stratigraphic simulation using image warping from sparse data

by Wei X and Wang H (2025). Front. Built Environ. 11:1651919. doi: 10.3389/fbuil.2025.1651919

In the published article, there was an error in Affiliation 3. 3Department of Civil and Environmental Engineering, University of Dayton, Dayton, OH, United States was erroneously given as 3Department of Civil and Environmental Engineering, University of Dayton, Dayton, China.

The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: stratigraphic uncertainty, non-stationary random field, image warping, bayesian machine learning, markov random field

Citation: Wei X and Wang H (2025) Correction: Stochastic stratigraphic simulation using image warping from sparse data. Front. Built Environ. 11:1686647. doi: 10.3389/fbuil.2025.1686647

Received: 15 August 2025; Accepted: 18 August 2025;
Published: 26 August 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Wei and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hui Wang, aHdhbmcxMkB1ZGF5dG9uLmVkdQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.