Region Based CNN for Foreign Object Debris Detection on Airfield Pavement

In this paper, a novel algorithm based on convolutional neural network (CNN) is proposed to detect foreign object debris (FOD) based on optical imaging sensors. It contains two modules, the improved region proposal network (RPN) and spatial transformer network (STN) based CNN classifier. In the impr...

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Detalles Bibliográficos
Autores principales: Cao, Xiaoguang, Wang, Peng, Meng, Cai, Bai, Xiangzhi, Gong, Guoping, Liu, Miaoming, Qi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876630/
https://www.ncbi.nlm.nih.gov/pubmed/29494524
http://dx.doi.org/10.3390/s18030737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876630/
https://www.ncbi.nlm.nih.gov/pubmed/29494524
http://dx.doi.org/10.3390/s18030737

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