Land type authenticity check of vector patches using a self-trained deep learning model
Author:
Affiliation:
1. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou, China
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Resources, Beijing, China
Funder
Postgraduate Research & Practice Innovation Program of Jiangsu Province
Jiangsu Province Land and Resources Science and Technology Plan Project
Jiangsu Geology&Mineral Exploration Bureau Science and Technology Plan Project
Xuzhou Science and Technology Key R&D Program (Social Development) Project
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2032453
Reference41 articles.
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