Open access
0
Views
0
CrossRef citations to date
0
Altmetric
Research Article
Dirty road extraction from GF-2 images by semi-supervised deep learning method for arid and semiarid regions of southern Mongolia
Meng Wanga State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences, Beijing, People’s Republic of China;b College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, People’s Republic of China
& Juanle Wanga State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research of Chinese Academy of Sciences, Beijing, People’s Republic of China;b College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, People’s Republic of China;c Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, People’s Republic of ChinaCorrespondence[email protected]
Article: 2384631
|
Received 21 Feb 2024, Accepted 17 Jul 2024, Published online: 30 Jul 2024
Reprints and Permissions
This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, reproduction in any medium, provided the original work is properly cited.
You are not required to obtain permission to reuse this article in part or whole.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.