Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data

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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Bibliographic Details
Main Authors: L. Ying, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu
Format: Article
Language:English
Published: Copernicus Publications 2025-08-01
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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