0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification

Author(s): (Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China)
ORCID (Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China)
(Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China)
(Yalong River Hydropower Development Company, Ltd., Chengdu, Sichuan, China)
(PowerChina Chengdu Engineering Corporation Limited, Chengdu, Sichuan, China)
ORCID (Department of Disaster Mitigation for Structures, Tongji University, Shanghai, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 22
Page(s): 147592172211223
DOI: 10.1177/14759217221122318
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217221122318.
  • About this
    data sheet
  • Reference-ID
    10702202
  • Published on:
    16/12/2022
  • Last updated on:
    21/06/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine