Automatic tunnel lining crack detection via deep learning with generative adversarial network-based data augmentation

Zhong Zhou; Junjie Zhang; Chenjie Gong; Wei Wu

doi:10.1016/j.undsp.2022.07.003

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JOURNAL ARTICLE

Automatic tunnel lining crack detection via deep learning with generative adversarial network-based data augmentation

Zhong Zhou Junjie Zhang Chenjie Gong Wei Wu

Year: 2022 Journal: Underground Space Vol: 9 Pages: 140-154 Publisher: Elsevier BV

DOI: 10.1016/j.undsp.2022.07.003

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Keywords:

Pruning Computer science Generative adversarial network Artificial intelligence Generative model Block (permutation group theory) Deep learning Generative grammar Residual Set (abstract data type) Pattern recognition (psychology) Algorithm Mathematics

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Topics

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Tunneling and Rock Mechanics

Physical Sciences → Engineering → Civil and Structural Engineering

Geotechnical Engineering and Underground Structures

Physical Sciences → Engineering → Civil and Structural Engineering

Automatic tunnel lining crack detection via deep learning with generative adversarial network-based data augmentation

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Citation History

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