SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images

Accurate and efficient mapping of road networks is crucial for evaluating urban development, transportation accessibility, and environmental impact. However, existing road extraction methods utilizing remote sensing images suffer from limited generalization ability and object occlusion, resulting in...

Full description

Bibliographic Details
Main Authors: Lixian Zhang, Shuai Yuan, Runmin Dong, Juepeng Zheng, Bin Gan, Dengmao Fang, Yang Liu, Haohuan Fu
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843224000190