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CORRECTION article

Front. Earth Sci., 10 March 2023
Sec. Environmental Informatics and Remote Sensing
Volume 11 - 2023 | https://doi.org/10.3389/feart.2023.1176435

Corrigendum: Reconstruction of seismic data based on SFISTA and curvelet transform

This article is a correction to:

  1. Reconstruction of seismic data based on SFISTA and curvelet transform

    1. Read original article
Lin Tian, Lin Tian1,2*Si QinSi Qin1
  • 1School of Electronic Engineering, Yili Normal University, Yining, China
  • 2Key Laboratory of Signal Detection and Control Technology, Yili Normal University, Yining, China

A Corrigendum on
Reconstruction of seismic data based on SFISTA and curvelet transform

by Tian L and Qin S (2023). Front. Earth Sci. 11:1103522. doi: 10.3389/feart.2023.1103522

In the published article, there was an error in Figure 7 as published. The corrected Figure 7 and its caption appear below.

FIGURE 7
www.frontiersin.org

FIGURE 7. (A) Comparison of a missing single-trace amplitude interpolated with FISTA and SFISTA methods; (B) zoomed traces from the transparent gray window of (A).

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.

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: seismic data reconstruction, sparse constraint, curvelet transform, contourlet transform, SFISTA

Citation: Tian L and Qin S (2023) Corrigendum: Reconstruction of seismic data based on SFISTA and curvelet transform. Front. Earth Sci. 11:1176435. doi: 10.3389/feart.2023.1176435

Received: 28 February 2023; Accepted: 01 March 2023;
Published: 10 March 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Tian and Qin. 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: Lin Tian, MTYxMDM1NjM1OEBxcS5jb20=

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.