Urban Land-Use Classification with Multi-Source Self-Supervised Representation Learning and Correlation Modeling
Author:
Affiliation:
1. Wuhan University,State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing,Wuhan,China,430079
2. Information Engineering University,Institute of Geospatial Information,Zhengzhou,China,450001
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642159.pdf?arnumber=10642159
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1. Sustainable development agenda: 2030
2. Deep learning-based remote and social sensing data fusion for urban region function recognition
3. A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data
4. A Shape and Size Free-CNN for Urban Functional Zone Mapping With High-Resolution Satellite Images and POI Data
5. RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
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