Deep Learning Approaches on Defect Detection in High Resolution Aerial Images of Insulators

By detecting the defect location in high-resolution insulator images collected by unmanned aerial vehicle (UAV) in various environments, the occurrence of power failure can be timely detected and the caused economic loss can be reduced. However, the accuracies of existing detection methods are great...

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Detalles Bibliográficos
Autores principales: Wen, Qiaodi, Luo, Ziqi, Chen, Ruitao, Yang, Yifan, Li, Guofa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913352/
https://www.ncbi.nlm.nih.gov/pubmed/33546245
http://dx.doi.org/10.3390/s21041033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913352/
https://www.ncbi.nlm.nih.gov/pubmed/33546245
http://dx.doi.org/10.3390/s21041033

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