Affiliation of Author(s): : 控制科学与工程学院
Title of Paper: : Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks
Journal: : Automation in Construction
Key Words: : Arbitrarily-oriented defect detection;Automation;Deep learning;Ground penetrating radar;Tunnel inspection
First Author: : 王静
Document Code: : 1523583211215523842
Volume: : 133
Number of Words: : 50
Translation or Not: : no
Date of Publication: : 2021-11-13
Associate Professor
Gender : Male
Status : Employed
School/Department : 齐鲁交通学院
Date of Employment : 2018-09-17
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