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Rischioni, Lucas Germano (2022) Machine Learning Approaches For Road Condition Monitoring Using Synthetic Aperture Radar. Bachelor's, Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos, Brazil.
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| Item URL in elib: | https://elib.dlr.de/188205/ | ||||||||
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| Document Type: | Thesis (Bachelor's) | ||||||||
| Title: | Machine Learning Approaches For Road Condition Monitoring Using Synthetic Aperture Radar | ||||||||
| Authors: |
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| Date: | 2022 | ||||||||
| Refereed publication: | Yes | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Synthetic aperture radar, additive noise, surface roughness, machine learning | ||||||||
| Institution: | Instituto Tecnológico de Aeronáutica (ITA), São José dos Campos, Brazil | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Transport | ||||||||
| HGF - Program Themes: | Road Transport | ||||||||
| DLR - Research area: | Transport | ||||||||
| DLR - Program: | V ST Straßenverkehr | ||||||||
| DLR - Research theme (Project): | V - D.MoVe (old) | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > Radar Concepts | ||||||||
| Deposited By: | Babu, Arun | ||||||||
| Deposited On: | 26 Sep 2022 07:55 | ||||||||
| Last Modified: | 21 Nov 2022 14:34 |
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