Global–Local Information Fusion Network for Road Extraction: Bridging the Gap in Accurate Road Segmentation in China
Xudong Wang,
Yujie Cai,
Kang He
et al.
Abstract:Road extraction is crucial in urban planning, rescue operations, and military applications. Compared to traditional methods, using deep learning for road extraction from remote sensing images has demonstrated unique advantages. However, previous convolutional neural networks (CNN)-based road extraction methods have had limited receptivity and failed to effectively capture long-distance road features. On the other hand, transformer-based methods have good global information-capturing capabilities, but face chal… Show more
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