A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Extracting and identifying concrete structural defects in GPR images
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.
Extracting and identifying concrete structural defects in GPR images
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.
Extracting and identifying concrete structural defects in GPR images
Ye, Qiling (author) / Jiao, Liangbao (author) / Liu, Chuanxin (author) / Cao, Xuehong (author) / Huston, Dryver (author) / Xia, Tian (author)
Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII ; 2018 ; Denver,Colorado,United States
Proc. SPIE ; 10599
2018-03-27
Conference paper
Electronic Resource
English
Extracting and identifying concrete structural defects in GPR images [10599-46]
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