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Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements

Auteur(s): (School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil and Environmental Engineering Oklahoma State University Oklahoma USA)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
Médium: article de revue
Langue(s): anglais
Publié dans: Computer-Aided Civil and Infrastructure Engineering, , n. 13, v. 37
Page(s): 1654-1673
DOI: 10.1111/mice.12909
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1111/mice.12909.
  • Informations
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  • Reference-ID
    10690976
  • Publié(e) le:
    24.09.2022
  • Modifié(e) le:
    10.12.2022
 
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