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Journals
International Journal of Advanced Network, Monitoring and Controls
Volume 5 (2020): Issue 1 (January 2020)
Open Access
Research on the Tunnel Geological Radar Image Flaw Detection Based on CNN
He Li
He Li
and
Yubian Wang
Yubian Wang
| Feb 23, 2022
International Journal of Advanced Network, Monitoring and Controls
Volume 5 (2020): Issue 1 (January 2020)
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Published Online:
Feb 23, 2022
Page range:
44 - 53
DOI:
https://doi.org/10.21307/ijanmc-2020-007
Keywords
Tunnel Geological
,
Radar Image
,
Flaw Detection
,
CNN
© 2020 He Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1.
GPR system detection equipment
Figure 2.
Principles of geological radar detection
Figure 3.
GPR image of tunnel ejection
Figure 4.
Structure chart Faster RCNN
Figure 5.
Structure chart of RPN
Figure 6.
Same border regression of IoU
Figure 7.
Network model training process
DIELECTRIC CONSTANTS OF COMMON MATERIALS
Material
Dielectric constant
Velocity (mm/ns)
atmosphere
1
300
water
81
30
concrete
5-8
55-120
Sand (dry)
3-6
120-170
Sand (wet)
25-30
55-60
pitch
3-5
134-173