Detection of Highway Pavement Damage Based on a CNN Using Grayscale and HOG Features

Aiming at the demand for rapid detection of highway pavement damage, many deep learning methods based on convolutional neural networks (CNNs) have been developed. However, CNN methods with raw image data require a high-performance hardware configuration and cost machine time. To reduce machine time...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Guo-Hong, Ni, Jie, Chen, Zhuo, Huang, Hao, Sun, Yun-Lei, Ip, Wai Hung, Yung, Kai Leung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002920/
https://www.ncbi.nlm.nih.gov/pubmed/35408070
http://dx.doi.org/10.3390/s22072455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002920/
https://www.ncbi.nlm.nih.gov/pubmed/35408070
http://dx.doi.org/10.3390/s22072455

Ejemplares similares