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

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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Bibliographic Details
Main Authors:	Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, Massimo Losa
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Sensors
Subjects:	International Roughness Index (IRI) Machine Learning Algorithms (MLAs) Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) radar interferometry laser profilometric surveys Pavement Management Systems
Online Access:	https://www.mdpi.com/1424-8220/21/10/3377

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