Image Recognition–Based Identification of Multifractal Features of Faults
- 1School of Earth Science and Techology, Southwest Petroleum University, Chengdu, China
- 2College of Energy, Chengdu University of Technology, Chengdu, China
A Corrigendum on
Image recognition–based identification of multifractal features of faults
by Hu X, Liu H, Tan X, Yi C, Niu Z, Li J and Li J (2022). Front. Earth Sci. 10:909166. doi: 10.3389/feart.2022.909166
In the published article, there was an error in the caption of Figure 3 as published. The source of the figure was not included in the caption. Figure 3 and its updated caption appear below.
FIGURE 3. Fault distribution map of Maokou Formation in southeast Sichuan (modified from Hu et al., 2014).
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: image recognition, multifractal, faults, tectonic stages, fractal dimensions of faults
Citation: Hu X, Liu H, Tan X, Yi C, Niu Z, Li J and Li J (2022) Corrigendum: Image recognition–based identification of multifractal features of faults. Front. Earth Sci. 10:1068918. doi: 10.3389/feart.2022.1068918
Received: 13 October 2022; Accepted: 14 October 2022;
Published: 14 November 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Hu, Liu, Tan, Yi, Niu, Li and Li. 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: Hong Liu, nd123@163.com