A Novel Focal Phi Loss for Power Line Segmentation with Auxiliary Classifier U-Net

The segmentation of power lines (PLs) from aerial images is a crucial task for the safe navigation of unmanned aerial vehicles (UAVs) operating at low altitudes. Despite the advances in deep learning-based approaches for PL segmentation, these models are still vulnerable to the class imbalance prese...

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Detalles Bibliográficos
Autores principales: Jaffari, Rabeea, Hashmani, Manzoor Ahmed, Reyes-Aldasoro, Constantino Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073893/
https://www.ncbi.nlm.nih.gov/pubmed/33923472
http://dx.doi.org/10.3390/s21082803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073893/
https://www.ncbi.nlm.nih.gov/pubmed/33923472
http://dx.doi.org/10.3390/s21082803

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