Methodology for detecting and assessing the dynamics of defects in engineering structures by processing images from an unmanned aerial vehicle

Methodology for detecting and assessing the dynamics of defects in engineering structures by processing images from an unmanned aerial vehicle

We propose a non-invasive technique for automated detection and assessment of the dynamics of defects in engineering structures based on processing images received from unmanned aerial vehicles during periodic surveillance flights over an engineering structure. The technique includes stages of detec...

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Bibliographic Details
Main Authors: M.N. Suetin, V.E. Dementiev, A.G. Tashlinskii, R.G. Magdeev
Format: Article
Language:English
Published: Samara National Research University 2024-10-01
Series:Компьютерная оптика
Subjects:
monitoring
bridge
metal structure
defect
technique
processing
neural network
detection
stochastic adaptation
image
deformation
combination
Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO48-5/480515e.html
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