Point Cloud Extraction of Tower and Conductor in Overhead Transmission Line Based on PointCNN Improved-Reference-Cited by-同舟云学术

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Point Cloud Extraction of Tower and Conductor in Overhead Transmission Line Based on PointCNN Improved

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS)
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Author:

Feng Zhiqiang¹,Wang Xiankang¹,Zhou Xueming¹,Hu Danhui¹,Li Zijian¹,Tian Maojie²

Affiliation:

1. State Grid Hubei Electric Power Research Institute,Wuhan,Hubei,China,430077

2. State Grid Electric Power Space Technology Company Limited,Beijing,China,102209

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211117/10212989/10213123.pdf?arnumber=10213123

Reference12 articles.

1. Multi-Scale Voxel Class Balanced ASPP for LIDAR Pointcloud Semantic Segmentation

2. PVRNet: Point-View Relation Neural Network for 3D Shape Recognition

3. A Comparative Study on Typical Methods for Semantic Segmentation of Laser Point Clouds in Urban Areas;yang;Geography and Geo-Information Science,2021

4. VoxNet: A 3D Convolutional Neural Network for real-time object recognition

5. Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stower-13: A Multi-View Inspection Image Dataset for the Automatic Classification and Naming of Tension Towers;Electronics;2024-05-10

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