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Holistic image‐based analysis of damage on concrete surfaces—A multifaceted approach based on supervised machine learning

Author(s): ORCID (Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany)
(Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany)
(Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany)
(Geodetic Institute and Chair for Computing in Civil Engineering and Geo Information Systems, RWTH Aachen University Aachen Germany)
Medium: journal article
Language(s): English
Published in: Structural Concrete, , n. 5, v. 25
Page(s): 3121-3144
DOI: 10.1002/suco.202300626
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.202300626.
  • About this
    data sheet
  • Reference-ID
    10776537
  • Published on:
    29/04/2024
  • Last updated on:
    10/11/2024
 
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