An Improved Substation Equipment Recognition Algorithm by KNN Classification of Subspace Feature Vector-Reference-Cited by-同舟云学术

An Improved Substation Equipment Recognition Algorithm by KNN Classification of Subspace Feature Vector

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Wang Liang¹,Kou Qilong¹,Wei Rongle¹,Zhou Leiyue¹,Fang Tao²,Zhang Jia³

Affiliation:

1. State Grid Luoyang Electric Power Supply Company,Communication & Information Center,Luoyang,P. R. C.

2. State Grid Luoyang Electric Power Supply Company,Operation & maintenance Department,Luoyang,P. R. C.

3. Zhengzhou University,College of Electrical Engineering,Zhengzhou,P. R. C

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9727224/9727236/09728083.pdf?arnumber=9728083

Reference10 articles.

1. meshSIFT: Local surface features for 3D face recognition under expression variations and partial data

2. Registration with the Point Cloud Library: A Modular Framework for Aligning in 3-D

3. An Efficient Ant Colony Instance Selection Algorithm for KNN Classification

4. Substation Equipment Identification Based on Boundary Curvature of Dimension-reduced Point Set[J];dou;Journal of Zhengzhou University (Engineering Science),2017

5. Instant Object Detection in Lidar Point Clouds[J];bores;IEEE Geoscience & Remote Sensing Letters,2017

Cited by 2 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. A Point Cloud Dataset of Vehicles Passing through a Toll Station for Use in Training Classification Algorithms;Data;2024-06-27

2. Research on Visual Localization Method for Substation Live Working Robot Based on Deep Learning;Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence;2023-11-24