Identifying Every Building’s Function in Large-Scale Urban areas with Multi-Modality Remote-Sensing Data
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641437.pdf?arnumber=10641437
Reference22 articles.
1. Building Footprint Extraction From VHR Remote Sensing Images Combined With Normalized DSMs Using Fused Fully Convolutional Networks
2. Learning without exact guidance: Updating large-scale high-resolution land cover maps from low-resolution historical labels;Li,2024
3. Building urban resilience with nature-based solutions: How can urban planning contribute?
4. Urban Planning and Sustainable Development
5. Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery
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