Submeter-level global-scale road mapping based on limited labeled data from optical remote sensing images

by Ning Zhou, Mingting Zhou, Dingyuan Chen, Weiyue Shi, Yihao Zhu, Junyi Liu and Haigang Sui

This is an official implementation of GlobalRoadMapper.

Environments:

• pytorch >= 1.11.0
• python >=3.6

Dataset

Train

Inference

Citation

If you use GlobalRoadMapper in your research, please cite the following papers.