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Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

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Institution:控制科学与工程学院

Title of Paper:Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network

Journal:CONSTRUCTION AND BUILDING MATERIALS

First Author:杨森林

Document Code:DB43181BBB3D41199EA955B6528336FE

Volume:319

Number of Words:7

Translation or Not:No

Date of Publication:2022-02

Release Time:2022-05-22

Pre One : Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping

Next One : GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines

Personal information

Professor

Gender : Male

Status : Employed

School/Department : 齐鲁交通学院

Date of Employment : 2018-09-17

Faculty/School : School of Qilu Transportation

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