"Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric ..."

Nicholas Fiorentini et al. (2021)

> Home

Details and statistics

DOI: 10.3390/S21103377

access: open

type: Journal Article

metadata version: 2021-07-13

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/FiorentiniMLL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/FiorentiniMLL21
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, Massimo Losa:
Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys? Sensors 21(10): 3377 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.