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CORRECTION article

Front. Earth Sci., 31 January 2024
Sec. Volcanology
Volume 11 - 2023 | https://doi.org/10.3389/feart.2023.1339426
This article is part of the Research Topic Applications of Machine Learning in Volcanology View all 9 articles

Corrigendum: Extraction of stratigraphic exposures on visible images using a supervised machine learning technique

This article is a correction to:

  1. Extraction of stratigraphic exposures on visible images using a supervised machine learning technique

    1. Read original article
Rina Noguchi Rina Noguchi1*Daigo ShojiDaigo Shoji2
  • 1Faculty of Science, Niigata University, Niigata, Japan
  • 2Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency, Sagamihara, Kanagawa, Japan

A Corrigendum on
Extraction of stratigraphic exposures on visible images using a supervised machine learning technique

by Noguchi R and Shoji D (2023). Front. Earth Sci. 11:1264701. doi: 10.3389/feart.2023.1264701

In the published article, there was an error in the legend for Figure 2 as published. The symbols were attributed to the incorrect IDs. The blue triangle—U-Net fn ResNet18—was described as U-7 but should have been U-4. The green star—U-Net fn ResNet50 - was described as U-13 but should have been U-7. The blue square—U-Net fy ResNet18 was described as U-4 but should have been U-10. The green diamond—U-Net fy ResNet50—was described as U-10 but should have been U-13. The order has been rearranged into the numerical order of the IDs. The correct figure and legend appears below.

FIGURE 2
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FIGURE 2. Loss, dice loss, and accuracy plots and curves during training for U-Net models with a setting of 50 steps per epoch.

In the published article, there was an error in the legend for Figure 3 as published. The symbols were attributed to the incorrect IDs. The blue triangle—U-Net fn ResNet18—was described as U-8 but should have been U-5. The green star—U-Net fn ResNet50 - was described as U-14 but should have been U-8. The blue square—U-Net fy ResNet18 was described as U-5 but should have been U-11. The green diamond—U-Net fy ResNet50—was described as U-11 but should have been U-14. The order has been rearranged into the numerical order of the IDs. The correct figure and legend appears below.

FIGURE 3
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FIGURE 3. Loss, dice loss, and accuracy plots and curves during training for U-Net models with a setting of 100 steps per epoch.

In the published article, there was an error in the legend for Figure 4 as published. The symbols were attributed to the incorrect IDs. The blue triangle—U-Net fn ResNet18—was described as U-9 but should have been U-6. The green star—U-Net fn ResNet50—was described as U-15 but should have been U-9. The blue square—U-Net fy ResNet18 was described as U-6 but should have been U-12. The green diamond—U-Net fy ResNet50—was described as U-12 but should have been U-15. The order has been rearranged into the numerical order of the IDs. The correct figure and legend appears below.

FIGURE 4
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FIGURE 4. Loss, dice loss, and accuracy plots and curves during training for U-Net models with a setting of 150 steps per epoch.

In the published article, there was an error in the legend for Figure 5 as published. The symbols were attributed to the incorrect IDs. The blue triangle–LinkNet fn ResNet18 - was described as L-4 but should have been L-1. The green star—LinkNet fn ResNet50—was described as L-10 but should have been L-4. The blue square—LinkNet fy ResNet18 was described as L-1 but should have been L-7. The green diamond—LinkNet fy ResNet50—was described as L-7 but should have been L-10. The order has been rearranged into the numerical order of the IDs. The correct figure and legend appears below.

FIGURE 5
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FIGURE 5. Loss, dice loss, and accuracy plots and curves during training for LinkNet models with a setting of 50 steps per epoch.

In the published article, there was an error in the legend for Figure 6 as published. The symbols were attributed to the incorrect IDs. The blue triangle–LinkNet fn ResNet18—was described as L-5 but should have been L-2. The green star—LinkNet fn ResNet50 - was described as L-11 but should have been L-5. The blue square—LinkNet fy ResNet18 was described as L-2 but should have been L-8. The green diamond—LinkNet fy ResNet50—was described as L-8 but should have been L-11. The order has been rearranged into the numerical order of the IDs. The correct figure and legend appears below.

FIGURE 6
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FIGURE 6. Loss, dice loss, and accuracy plots and curves during training for LinkNet models with a setting of 100 steps per epoch.

In the published article, there was an error in the legend for Figure 7 as published. The symbols were attributed to the incorrect IDs. The blue triangle—LinkNet fn ResNet18—was described as L-6 but should have been L-3. The blue square—LinkNet fy ResNet18 was described as L-3 but should have been L-9. The green star—LinkNet fn ResNet50—was described as L-12 but should have been L-6. The green diamond—LinkNet fy ResNet50—was described as L-9 but should have been L-12. The order has been rearranged into the numerical order of the IDs. The correct figure and legend appears below.

FIGURE 7
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FIGURE 7. Loss, dice loss, and accuracy plots and curves during training for LinkNet models with a setting of 150 steps per epoch.

In the published article, there was an error in Table 1 as published.

TABLE 1
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TABLE 1. The loss, dice, and binary accuracy at the end of training in each model.

Values for the model ID L-1 and L-7 were incorrect. The corrected Table 1 and its caption appear below.

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. 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: machine learning, stratigraphic exposures, volcanic stratigraphies, autonomous extraction, U-Net, LinkNet

Citation: Noguchi R and Shoji D (2024) Corrigendum: Extraction of stratigraphic exposures on visible images using a supervised machine learning technique. Front. Earth Sci. 11:1339426. doi: 10.3389/feart.2023.1339426

Received: 16 November 2023; Accepted: 27 November 2023;
Published: 31 January 2024.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2024 Noguchi and Shoji. 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: Rina Noguchi, r-noguchi@env.sc.niigata-u.ac.jp

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.