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?
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Basel: MDPI AG
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English
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Basel: MDPI AG
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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 average vertical displacement (in terms of mm/yea...
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Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?
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TN_cdi_doaj_primary_oai_doaj_org_article_d9ba2a6794ec42f582aa85e6b83900ab
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d9ba2a6794ec42f582aa85e6b83900ab
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21103377
