One-class SVM based outlier detection strategy to detect thin interlayer debondings within pavement structures using Ground Penetrating Radar data

In this paper, we present a processing method to detect millimeter interlayer debondings from Ground Penetrating Radar (GPR) B-scan images. The method is matched to carry out rapid debonding detection at the operational level. A machine learning based outlier-detection strategy namely, One-class Support Vector Machines (OCSVM) is proposed to detect A-scan data vectors which differ from a reference data set collected over a known healthy pavement area.