A unified multimodal learning method for urban functional zone identification by fusing inner-street visual–textual information from street-view and satellite images
Urban functional zones (UFZ) are areas that divide urban space into specific uses based on the distribution of different human activities and infrastructure. UFZ mapping is to analyze the geographic information data of urban space, combine remote sensing images (RSI), point of interest (POI) data an...
Saved in:
| Main Authors: | Jiajun Chen, Runyu Fan, Hongyang Niu, Zijian Xu, Jining Yan, Weijing Song, Ruyi Feng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225003322 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Urban informal settlements interpretation via a novel multi-modal Kolmogorov–Arnold fusion network by exploring hierarchical features from remote sensing and street view images
by: Hongyang Niu, et al.
Published: (2025-06-01) -
SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions
by: Eric Reinhardt, et al.
Published: (2025-01-01) -
How Resilient Are Kolmogorov–Arnold Networks in Classification Tasks? A Robustness Investigation
by: Ahmed Dawod Mohammed Ibrahum, et al.
Published: (2024-11-01) -
Kolmogorov GAM Networks Are All You Need!
by: Sarah Polson, et al.
Published: (2025-05-01) -
Integrating street view imagery and taxi trajectory for identifying urban function of street space
by: Mianxin Gao, et al.
Published: (2025-05-01)