27 March 2018 Extracting and identifying concrete structural defects in GPR images
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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
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Qiling Ye, Qiling Ye, Liangbao Jiao, Liangbao Jiao, Chuanxin Liu, Chuanxin Liu, Xuehong Cao, Xuehong Cao, Dryver Huston, Dryver Huston, Tian Xia, 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); doi: 10.1117/12.2296452; https://doi.org/10.1117/12.2296452
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