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Inspecting Buildings Using Drones and Computer Vision: A Machine Learning Approach to Detect Cracks and Damages

Manual inspection of infrastructure damages such as building cracks is difficult due to the objectivity and reliability of assessment and high demands of time and costs. This can be automated using unmanned aerial vehicles (UAVs) for aerial imagery of damages. Numerous computer vision-based approach...

Celý popis

Uloženo v:
Hlavní autoři: Hafiz Suliman Munawar, Fahim Ullah, Amirhossein Heravi, Muhammad Jamaluddin Thaheem, Ahsen Maqsoom
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2021-12-01
Edice:Drones
Témata:
building damages
convolutional neural networks (CNNs)
computer vision
cracks
generative adversarial network (CycleGAN)
infrastructure inspection
On-line přístup:https://www.mdpi.com/2504-446X/6/1/5
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