An innovative structural health assessment tool for existing precast concrete buildings using deep learning methods and thermal infrared satellite imagery

HIGHLIGHTS

• who: Madi Kargin from the Civil Engineering Stream, School of Engineering, University of Warwick, Coventry , AL, UK have published the paper: An innovative structural health assessment tool for existing precast concrete buildings using deep learning methods and thermal infrared satellite imagery, in the Journal: (JOURNAL)
• what: In this article, the purpose of the YOLO algorithm application is to automatically detect PC buildings over the entire study area (it is not used for a damage classification nor detection itself).
• how: The results showed that IR images successfully detected damage in 76% of the buildings . . .
  

   

  

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