A Linear Prediction and Support Vector Regression-Based Debonding Detection Method Using Step-Frequency Ground Penetrating Radar
| Autor: | Amine Ihamouten, Yide Wang, Cedric Le Bastard, Nicolas Pinel, Meng Sun, Christophe Bourlier, Jingjing Pan, Vincent Baltazart, Shreedhar Savant Todkar, Xavier Derobert |
|---|---|
| Přispěvatelé: | Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement - Equipe-projet ENDSUM (Cerema Equipe-projet ENDSUM), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema), Shanghai Maritime University, Structure et Instrumentation Intégrée (IFSTTAR/COSYS/SII), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM), Institut Catholique d'Arts et Métiers (ICAM), Laboratoire Géophysique et évaluation non destructive (IFSTTAR/GERS/GeoEND), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
[SPI.OTHER]Engineering Sciences [physics]/Other
support vector regression (SVR) business.industry Computer science Acoustics 0211 other engineering and technologies detection Linear prediction 02 engineering and technology Geotechnical Engineering and Engineering Geology linear prediction (LP) step-frequency ground penetrating radar (SF-GPR) Field (computer science) Time–frequency analysis [SPI.TRON]Engineering Sciences [physics]/Electronics Support vector machine Step frequency pavements Nondestructive testing Debondings Ground-penetrating radar Electrical and Electronic Engineering business 021101 geological & geomatics engineering |
| Zdroj: | IEEE Geoscience and Remote Sensing Letters IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2019, 16 (3), pp.367-371. ⟨10.1109/LGRS.2018.2873045⟩ IEEE Geoscience and Remote Sensing Letters, 2019, 16 (3), pp.367-371. ⟨10.1109/LGRS.2018.2873045⟩ |
| ISSN: | 1545-598X 1558-0571 |
| DOI: | 10.1109/LGRS.2018.2873045⟩ |
| Popis: | International audience; In the field of civil engineering, ground penetrating radar (GPR) is a highly efficient nondestructive testing tool for sustainable management of pavement infrastructures. GPR allows to evaluate the structure of the roadway over large distances (with contactless configurations) and to detect significant subsurface defects. This letter presents a new method to detect thin debondings within pavement structures with the step-frequency GPR. The proposed method enables us to carry out the detection with only a small number of frequency samples and A-scans. It is based on the linear prediction and support vector regression theories. Two experimental results show its effectiveness. |
| Databáze: | OpenAIRE |
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