Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography

Concrete deck delamination often demonstrates strong variations in size, shape, and temperature distribution under the influences of outdoor weather conditions. The strong variations create challenges for pure analytical solutions in infrared image segmentation of delaminated areas. The recently dev...

Celý popis

Podrobná bibliografie

Vydáno v:	NDT & E international : independent nondestructive testing and evaluation Ročník 116; s. 102341
Hlavní autoři:	Cheng, Chongsheng, Shang, Zhexiong, Shen, Zhigang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2020
Témata:	Concrete delamination Deep learning Encoder-decoder architecture Nondestructive evaluation Semantic segmentation Thermography UAV Deep learning Nondestructive evaluation Encoder-decoder architecture Semantic segmentation Concrete delamination UAV Thermography
ISSN:	0963-8695, 1879-1174
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!