Defect Detection in Tunnel Images using Random Forests and Deep Learning
Defect Detection in Tunnel Images using Random Forests and Deep Learning
- Author(s): G. Decor ; M.D. Bah ; P. Foucher ; P. Charbonnier ; F. Heitz
- DOI: 10.1049/cp.2019.0239
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- Author(s): G. Decor ; M.D. Bah ; P. Foucher ; P. Charbonnier ; F. Heitz Source: 10th International Conference on Pattern Recognition Systems, 2019 p. 1 (1 – 6)
- Conference: 10th International Conference on Pattern Recognition Systems
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- DOI: 10.1049/cp.2019.0239
- ISBN: 978-1-83953-108-8
- Location: Tours, France
- Conference date: 8-10 July 2019
- Format: PDF
Inspec keywords: cracks; walls; statistical analysis; object detection; structural engineering computing; convolutional neural nets; maintenance engineering; tunnels; random forests; inspection; computer vision
Subjects: Neural computing techniques; Maintenance and reliability; Geotechnical structures; Computer vision and image processing techniques; Statistics; Fracture mechanics and hardness (mechanical engineering); Inspection and quality control; Building structures; Optical, image and video signal processing; Other topics in statistics; Other topics in statistics; Mechanical engineering applications of IT; Civil and mechanical engineering computing; Knowledge engineering techniques