An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms

An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms

Abstract The railway track extraction using unmanned aerial vehicle (UAV) aerial images suffers from issues such as low extraction accuracy and high time consumption. In response to these problems, this paper presents a lightweight algorithm DA-DeepLabv3 + based on densely connected and attention me...

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Bibliographic Details
Main Authors: Yanbin Weng, Jie Yang, Changfan Zhang, Jing He, Cheng Peng, Lin Jia, Hui Xiang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Deep learning
Semantic segmentation
Attention mechanism
Railway extraction
UAV aerial imagery
Online Access:https://doi.org/10.1038/s41598-024-84937-5
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https://doi.org/10.1038/s41598-024-84937-5

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