A Deep Learning Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data

A Deep Learning Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data

Automatically and accurately reconstructing the overhead wires of railway from airborne laser scanning (ALS) data are an efficient way of railway monitoring to ensure stable and safety transportation services. However, due to the complex structure of the overhead wires, it is challenging to extract...

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Bibliographic Details
Main Authors: Lele Zhang, Jinhu Wang, Yueqian Shen, Jian Liang, Yuyu Chen, Linsheng Chen, Mei Zhou
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
airborne LiDAR
neighborhood information
PointNet
wire extraction
wire reconstruction
Online Access:https://www.mdpi.com/2072-4292/14/20/5272

Internet

https://www.mdpi.com/2072-4292/14/20/5272

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