Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?

This paper proposes a methodology for correlating products derived by Synthetic Aperture Radar (SAR) measurements and laser profilometric road roughness surveys. The procedure stems from two previous studies, in which several Machine Learning Algorithms (MLAs) have been calibrated for predicting the...

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Detalles Bibliográficos
Autores principales: Fiorentini, Nicholas, Maboudi, Mehdi, Leandri, Pietro, Losa, Massimo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151251/
https://www.ncbi.nlm.nih.gov/pubmed/34066242
http://dx.doi.org/10.3390/s21103377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151251/
https://www.ncbi.nlm.nih.gov/pubmed/34066242
http://dx.doi.org/10.3390/s21103377

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