Data Augmentation Method for Extracting Partially Occluded Roads From High Spatial Resolution Remote Sensing Images

Road extraction from high spatial resolution remote sensing images (HSRRSI) is valuable for thematic mapping, autonomous driving, and natural disaster assessment. Deep neural networks have become a powerful tool for road extraction from HSRRSI. However, these methods cannot effectively capture occlu...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Xuejun Guo, Ruisen Zhou
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Data augmentation high spatial resolution remote sensing images occlusion road extraction
Online Access:	https://ieeexplore.ieee.org/document/10192282/