Real‐time segmentation of various insulators using generative adversarial networks-Reference-Cited by-同舟云学术

Real‐time segmentation of various insulators using generative adversarial networks

Published:2018-02-26 Issue:5 Volume:12 Page:596-602
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Chang Wenkai¹²^ORCID,Yang Guodong¹,Yu Junzhi¹,Liang Zize¹

Affiliation:

1. State Key Laboratory of Management and Control for Complex SystemsInstitute of AutomationChinese Academy of SciencesBeijing100190People's Republic of China

2. University of Chinese Academy of SciencesBeijing100049People's Republic of China

Funder

National Natural Science Foundation of China

State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0591

Reference35 articles.

1. Digital image processing approach using combined wavelet hidden Markov model for well-being analysis of insulators

2. LineScout power line robot: Characterization of a UTM-30LX LIDAR system for obstacle detection

3. Development of a power line inspection robot with hybrid operation modes

4. A DOST based approach for the condition monitoring of 11 kV distribution line insulators

5. Condition monitoring of 11 kV distribution system insulators incorporating complex imagery using combined DOST-SVM approach

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