Target Recognition of Coal and Gangue Based on Improved YOLOv5s and Spectral Technology

Aiming at the problems of long detection time and low detection accuracy in the existing coal gangue recognition, this paper proposes a method to collect the multispectral images of coal gangue using spectral technology and match with the improved YOLOv5s (You Only Look Once Version-5s) neural netwo...

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Detalles Bibliográficos
Autores principales: Yan, Pengcheng, Kan, Xuyue, Zhang, Heng, Zhang, Xiaofei, Chen, Fengxiang, Li, Xinyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222147/
https://www.ncbi.nlm.nih.gov/pubmed/37430824
http://dx.doi.org/10.3390/s23104911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222147/
https://www.ncbi.nlm.nih.gov/pubmed/37430824
http://dx.doi.org/10.3390/s23104911

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