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
Document Code: : 1523583211215523842
Volume: : 133
Number of Words: : 50
Translation or Not: : no
Date of Publication: : 2021-11-01
Included Journals: : SCI
Professor
Supervisor of Master's Candidates
Gender : Male
Alma Mater : 山东大学
Education Level : With Certificate of Graduation for Doctorate Study
Degree : 博士
Status : Employed
School/Department : 控制科学与工程学院
Date of Employment : 2016-11-11
Discipline:Control Science and Engineering
Detection Technology and Automatic Equipment
Business Address : 山东省济南市历下区经十路17923号 山东大学(千佛山) 创新大厦612
Contact Information : 88392323
Email : zfwang@sdu.edu.cn
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