Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images

Traditional methods of detecting and mapping utility poles are inefficient and costly because of the demand for visual interpretation with quality data sources or intense field inspection. The advent of deep learning for object detection provides an opportunity for detecting utility poles from side-...

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Detalles Bibliográficos
Autores principales: Zhang, Weixing, Witharana, Chandi, Li, Weidong, Zhang, Chuanrong, Li, Xiaojiang, Parent, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111250/
https://www.ncbi.nlm.nih.gov/pubmed/30071580
http://dx.doi.org/10.3390/s18082484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111250/
https://www.ncbi.nlm.nih.gov/pubmed/30071580
http://dx.doi.org/10.3390/s18082484

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