Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data
Urban functional zone (UFZ) classification is essential for understanding city dynamics, supporting urban planning, and enabling effective resource allocation. Traditional approaches rely heavily on remote sensing imagery, which often lacks the contextual information necessary for distinguishing bet...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-08-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1647/2025/isprs-archives-XLVIII-G-2025-1647-2025.pdf |
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