A large-scale extraction framework for mapping urban in-formal settlements using remote sensing and semantic segmentation
Urban informal settlements (UISs) are densely populated and poorly developed residential areas in urban areas. The mapping of UISs using remote sensing is crucial for urban planning and management. However, the large-scale extraction of UISs is impeded by the labor-intensive task of collecting numer...
Saved in:
| Main Authors: | Yanan Zhang, Chen Lu, Jiao Wang, Fuguang Du |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-01-01
|
| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2345135 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Large multimodal model for open vocabulary semantic segmentation of remote sensing images
by: Bing Liu, et al.
Published: (2025-12-01) -
A Fractal Curve-Inspired Framework for Enhanced Semantic Segmentation of Remote Sensing Images
by: Xinhua Wang, et al.
Published: (2024-11-01) -
Characterizing the cultural landscape of traditional Chinese settlements through genome maps
by: Hu Zui, et al.
Published: (2024-10-01) -
Category-sensitive semi-supervised semantic segmentation framework for land-use/land-cover mapping with optical remote sensing images
by: Jifa Chen, et al.
Published: (2024-11-01) -
Enhancing Remote Sensing Semantic Segmentation Accuracy and Efficiency Through Transformer and Knowledge Distillation
by: Kang Zheng, et al.
Published: (2025-01-01)