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Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks
Release Time:2024-10-01
  • Institution:
    控制科学与工程学院
  • 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
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