2024
DOI: 10.2478/amns-2024-2216
|View full text |Cite
|
Sign up to set email alerts
|

Research on defect recognition technology of transmission line based on visual macromodeling

Yang Li,
Yan Li,
Qi Wang
et al.

Abstract: In order to improve the defect recognition efficiency of transmission lines, the industry is currently using aerial images for automatic visual defect detection to ensure the safe operation of transmission lines. This paper proposes a method for defect recognition from coarse to fine, based on convolutional neural networks and connected domain algorithms, to improve recognition accuracy. The recognition speed is improved by using the knowledge distillation method of target detection networks based on decoupled… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 34 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?