Two-Level Model for Detecting Substation Defects from Infrared Images

Training a deep convolutional neural network (DCNN) to detect defects in substation equipment often requires many defect datasets. However, this dataset is not easily acquired, and the complex background of the infrared images makes defect detection even more difficult. To alleviate this issue, this...

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Detalles Bibliográficos
Autores principales: Li, Bing, Wang, Tian, Hu, Zhedong, Yuan, Chao, Zhai, Yongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506384/
https://www.ncbi.nlm.nih.gov/pubmed/36146209
http://dx.doi.org/10.3390/s22186861

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506384/
https://www.ncbi.nlm.nih.gov/pubmed/36146209
http://dx.doi.org/10.3390/s22186861

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