Robust Extraction of Multiple-Type Support Positioning Devices in the Catenary System of Railway Dataset Based on MLS Point Clouds-Reference-Cited by-同舟云学术

Robust Extraction of Multiple-Type Support Positioning Devices in the Catenary System of Railway Dataset Based on MLS Point Clouds

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Yue¹^ORCID,Yang Yuanwei¹,Gao Xianjun¹^ORCID,Xu Lei²,Liu Bo³,Liang Xiaoli⁴^ORCID

Affiliation:

1. School of Geosciences, Yangtze University, Wuhan, China

2. China Railway Design Corporation, Tianjin, China

3. Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang, China

4. School of Software, Henan University, Kaifeng, China

Funder

Open Fund of National Engineering Laboratory for Digital Construction and Evaluation Technology of Urban Rail Transit

Open Fund of Key Laboratory of Mine Environmental Monitoring and Improving Around Poyang Lake, Ministry of Natural Resources

Open Fund of Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology

National Natural Science Foundation of China

Key Research and Development and Promotion Special Project in Henan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10136738.pdf?arnumber=10136738

Reference39 articles.

1. A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS

2. LiDAR Point Cloud Recognition and Visualization with Deep Learning for Overhead Contact Inspection

3. Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

4. Multi-Scale Hierarchical CRF for Railway Electrification Asset Classification From Mobile Laser Scanning Data

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1. Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques;Remote Sensing;2023-09-22

2. RailSeg: Learning Local–Global Feature Aggregation With Contextual Information for Railway Point Cloud Semantic Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2023