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A deep learning-based interferometric synthetic aperture radar framework for abnormal displacement deformation prediction of bridges

Author(s): (National and Local Joint Engineering Research Center for Intelligent Construction and Maintenance, Southeast University, Nanjing, China)
(National and Local Joint Engineering Research Center for Intelligent Construction and Maintenance, Southeast University, Nanjing, China)
ORCID (National and Local Joint Engineering Research Center for Intelligent Construction and Maintenance, Southeast University, Nanjing, China)
(Jiangsu Transportation Research Institute Co., Ltd, Nanjing, China)
(The Science and Technology on Near-Surface Detection Laboratory, Wuxi, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 16, v. 26
Page(s): 3005-3020
DOI: 10.1177/13694332231205061
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: 10.1177/13694332231205061.
  • About this
    data sheet
  • Reference-ID
    10743140
  • Published on:
    28/10/2023
  • Last updated on:
    14/01/2024
 
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