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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |