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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |