- Article
(2322 KB) - Metadata XML
- July 31, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-G-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-453-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-453-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Jul 2025
| 28 Jul 2025
Multimodal Fusion Framework for Urban functional zone change detection using Remote Sensing and Social Sensing Data
Bichen Fang
School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Shenzhen 518060, China
Key Laboratory for Geo‐Environmental Monitoring of Great Bay Area, MNR, Shenzhen 518060, China
Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen 518060, China
Xiana Chen
School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Shenzhen 518060, China
Key Laboratory for Geo‐Environmental Monitoring of Great Bay Area, MNR, Shenzhen 518060, China
Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen 518060, China
Hanxin Chen
Chongqing Academy of Surveying and Mapping, Chongqing 401147, China
Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 40000, China
Zejun Xiang
Chongqing Academy of Surveying and Mapping, Chongqing 401147, China
Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 40000, China
Bo Hu
Chongqing Academy of Surveying and Mapping, Chongqing 401147, China
Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 40000, China
Zhongwen Hu
School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Shenzhen 518060, China
Key Laboratory for Geo‐Environmental Monitoring of Great Bay Area, MNR, Shenzhen 518060, China
Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen 518060, China
Wei Tu
School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Shenzhen 518060, China
Key Laboratory for Geo‐Environmental Monitoring of Great Bay Area, MNR, Shenzhen 518060, China
Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen 518060, China
Related authors
No articles found.
Xiana Chen, Junxian Yu, Wei Tu, and Long Chen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-2024, 119–124, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-119-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-119-2024, 2024
Ruizhe Chen, Wei Tu, Qingquan Li, Zhipeng Chen, and Bochen Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 91–96, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-91-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-91-2024, 2024
B. Fang, W. Tu, M. Li, J. Cao, W. Gao, Y. Yue, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 521–528, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-521-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-521-2022, 2022
J. Xiao, T. Zhao, Y. Gu, and W. Tu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 195–202, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-195-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-195-2022, 2022
Y. Chen, H. Cheng, S. Yao, and Z. Hu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 55–60, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-55-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-55-2022, 2022
R. Cao, W. Tu, J. Cai, T. Zhao, J. Xiao, J. Cao, Q. Gao, and H. Su
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 259–266, https://doi.org/10.5194/isprs-annals-V-4-2022-259-2022, https://doi.org/10.5194/isprs-annals-V-4-2022-259-2022, 2022
L. He, Z. Wu, Y. Zhang, and Z. Hu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 75–81, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-75-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-75-2020, 2020
J. Li, Z. Wu, Z. Hu, Y. Zhang, and M. Molinier
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 885–892, https://doi.org/10.5194/isprs-annals-V-2-2020-885-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-885-2020, 2020
G. Agugiaro, M. Koeva, T. Wei, and F. Biljecki
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1287–1287, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1287-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1287-2019, 2019
G. Agugiaro, M. Koeva, T. Wei, and F. Biljecki
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 501–501, https://doi.org/10.5194/isprs-annals-IV-2-W5-501-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-501-2019, 2019
W. Wang, Z. Luan, B. He, X. Li, D. Zhang, Z. Huang, and W. Tu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 697–701, https://doi.org/10.5194/isprs-archives-XLII-4-697-2018, https://doi.org/10.5194/isprs-archives-XLII-4-697-2018, 2018
R. Yang, L. Pan, Z. Xiang, and H. Zeng
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2093–2100, https://doi.org/10.5194/isprs-archives-XLII-3-2093-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2093-2018, 2018
X. Li, W. Tu, S. Shen, Y. Yue, N. Luo, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 53–57, https://doi.org/10.5194/isprs-archives-XLII-2-W7-53-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-53-2017, 2017
Rui Cao, Wei Tu, Jinzhou Cao, and Qingquan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 471–476, https://doi.org/10.5194/isprs-archives-XLI-B2-471-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-471-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org