Railway Tracks Extraction from High Resolution Unmanned Aerial Vehicle Images Using Improved NL-LinkNet Network

Railway Tracks Extraction from High Resolution Unmanned Aerial Vehicle Images Using Improved NL-LinkNet Network

The accurate detection of railway tracks from unmanned aerial vehicle (UAV) images is essential for intelligent railway inspection and the development of electronic railway maps. Traditional computer vision algorithms struggle with the complexities of high-precision track extraction due to challenge...

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Bibliographic Details
Main Authors: Jing Wang, Xiwei Fan, Yunlong Zhang, Xuefei Zhang, Zhijie Zhang, Wenyu Nie, Yuanmeng Qi, Nan Zhang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Drones
Subjects:
deep learning
edge detection
railway track detection
attention mechanism
Online Access:https://www.mdpi.com/2504-446X/8/11/611
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