In the published article, there was an error in the Funding statement. The authors inadvertently omitted a funding source: The Science and Disruptive Technology Project of Aerospace Information Research Institute, Chinese Academy of Sciences (Grant No. E2Z206010F). The correct Funding statement appears below.
Statements
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the National Natural Science Foundation of China: 42071413, and the Science and disruptive technology project of Aerospace Information Research Institute of Chinese Academy of Sciences, grant number E2Z206010F.
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.
Summary
Keywords
remote sensing sample datasets, remote sensing sample retrieval, remote sensing sample database, AI-enabled remote sensing application, remote sensing imagery, deep learning, label category system, remote sensing big data
Citation
Ren X, Ma Y and Zhou Y (2025) Corrigendum: Label semantics and image features aware remote sensing sample retrieval from multi-source datasets for AI-enabled remote sensing monitoring. Front. Environ. Sci. 13:1621083. doi: 10.3389/fenvs.2025.1621083
Received
30 April 2025
Accepted
01 May 2025
Published
27 May 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
13 - 2025
Updates
Copyright
© 2025 Ren, Ma and Zhou.
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: Yan Ma, mayan@aircas.ac.cn
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.