Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer

Road Extraction from Remote Sensing Imagery with Spatial Attention Based on Swin Transformer

Road extraction is a crucial aspect of remote sensing imagery processing that plays a significant role in various remote sensing applications, including automatic driving, urban planning, and path navigation. However, accurate road extraction is a challenging task due to factors such as high road de...

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Bibliographic Details
Main Authors: Xianhong Zhu, Xiaohui Huang, Weijia Cao, Xiaofei Yang, Yunfei Zhou, Shaokai Wang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
remote sensing applications
road extraction
spatial self-attention
Spatial MLP
Online Access:https://www.mdpi.com/2072-4292/16/7/1183

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