Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images

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Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images

The technology of road extraction serves as a crucial foundation for urban intelligent renewal and green sustainable development. Its outcomes can optimize transportation network planning, reduce resource waste, and enhance urban resilience. Deep learning-based approaches have demonstrated outstandi...

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Bibliographic Details
Main Authors:	Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Sensors
Subjects:	depthwise separable convolution graph convolution road extraction smart cities gradient operator graph reasoning
Online Access:	https://www.mdpi.com/1424-8220/25/13/3915
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