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Automatic detection of building surface cracks using UAV and deep learning‐combined approach

Author(s): ORCID (Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, College of Civil and Transportation Engineering Shenzhen University Shenzhen China)
(College of Civil Engineering Tongji University Shanghai China)
(China Academy of Building Research Beijing China)
(The Service Affairs Center of Science and Technology Committee of Shanghai Municipal Commission of Housing, Urban‐Rural Development and Management Shanghai China)
ORCID (Guangdong Provincial Key Laboratory of Durability for Marine Civil Engineering, College of Civil and Transportation Engineering Shenzhen University Shenzhen China)
Medium: journal article
Language(s): English
Published in: Structural Concrete, , n. 4, v. 25
Page(s): 2302-2322
DOI: 10.1002/suco.202300937
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: 10.1002/suco.202300937.
  • About this
    data sheet
  • Reference-ID
    10758145
  • Published on:
    23/03/2024
  • Last updated on:
    23/09/2024
 
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