Roadway Interface Analysis with A Support Vector Regression Based Linear Prediction Method Using Stepped-Frequency Radar - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

Roadway Interface Analysis with A Support Vector Regression Based Linear Prediction Method Using Stepped-Frequency Radar

Abstract

Ground Penetrating Radar (GPR) is a widely used tool in the management and monitoring of pavement structures. In this paper, we focus on the detection of thin inter-layer debondings between the hot mix asphalt layers of pavement structures. A Stepped-Frequency Radar (SFR) associated with a Support Vector Regression based Linear Prediction (LP-SVR) method is used to detect thin debondings. The performance of SFR with the LP-SVR method is analyzed according to various used frequency bandwidths on the experimental data.
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Dates and versions

hal-02993052 , version 1 (06-11-2020)

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Cédric Le Bastard, J. Pan, Yide Wang, S. Todkar, Amine Ihamouten, et al.. Roadway Interface Analysis with A Support Vector Regression Based Linear Prediction Method Using Stepped-Frequency Radar. IGARSS 2019, IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp. 3598-3601, ⟨10.1109/IGARSS.2019.8899302⟩. ⟨hal-02993052⟩
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