性别：男
所在单位：土建与水利学院
入职时间：2021-03-01
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最后更新时间：..
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[1]
季银涛.
Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data.
IEEE Sensors Journal,
21,
8172,
2021.
-
[2]
刘本超.
Tunnel resistivity deep learning inversion method based on physics-driven and signal interpretability.
NEAR SURFACE GEOPHYSICS,
2024.
-
[3]
王静.
Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks.
Automation in Construction,
133,
2021.
-
[4]
刘斌.
Full-waveform inversion method for tunnel seismic forward prospecting.
GEOPHYSICAL JOURNAL INTERNATIONAL,
232,
2022.
-
[5]
刘涵池.
Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING ,
61,
2023.
-
[6]
蒋鹏.
Full waveform inversion of common-offset ground-penetrating radar based on a special source wavelet and multiple integral wave-field transform.
Journal of Applied Geophysics,
206,
2022.
-
[7]
王静.
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines.
IEEE Transactions on Geoscience and Remote Sensing,
60,
2021.
-
[8]
王静.
<p>Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks</p>.
Automation in Construction,
133,
2022.
-
[9]
季银涛.
Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data.
IEEE Sensors Journal,
21,
2021.
-
[10]
季银涛.
Deep Neural Network-Based Permittivity Inversions for Ground Penetrating Radar Data.
IEEE Sensors Journal,
21,
8172,
2021.
-
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