Semantic segmentation of urban land classes using a multi-scale dataset
Author:
Affiliation:
1. College of Information Science and Technology & College of Artificial Intelligence, Nanjing Forestry University, Nanjing, Jiangsu Province, China
Funder
Research and Development
Chinese Academy of Forestry
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2302351
Reference42 articles.
1. Urban Sustainability and Livability: An Analysis of Doha’s Urban-form and Possible Mitigation Strategies
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3. Amazon forest cover change mapping based on semantic segmentation by U-Nets
4. A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images
5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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