Extracting and identifying concrete structural defects in GPR images

Qiling Ye; Liangbao Jiao; Chuanxin Liu; Xuehong Cao; Dryver Huston; Tian Xia

doi:10.1117/12.2296452

27 March 2018 Extracting and identifying concrete structural defects in GPR images

Qiling Ye, Liangbao Jiao, Chuanxin Liu, Xuehong Cao, Dryver Huston, Tian Xia

Proceedings Volume 10599, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII; 1059919 (2018) https://doi.org/10.1117/12.2296452
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2018, Denver, Colorado, United States

Abstract

Traditionally most GPR data interpretations are performed manually. With the advancement of computing technologies, how to automate GPR data interpretation to achieve high efficiency and accuracy has become an active research subject. In this paper, analytical characterizations of major defects in concrete structures, including delamination, air void and moisture in GPR images, are performed. In the study, the image features of different defects are compared. Algorithms are developed for defect feature extraction and identification. For validations, both simulation results and field test data are utilized.

Conference Presentation

Citation Download Citation

Qiling Ye, Liangbao Jiao, Chuanxin Liu, Xuehong Cao, Dryver Huston, and Tian Xia "Extracting and identifying concrete structural defects in GPR images", Proc. SPIE 10599, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, 1059919 (27 March 2018); https://doi.org/10.1117/12.2296452

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