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Highway Crack Segmentation from Unmanned Aerial Vehicle Images Using Deep Learning

IEEE Geoscience and Remote Sensing Letters(2021)

Cited 41|Views14
Key words
Image segmentation,Unmanned aerial vehicles,Roads,Object segmentation,Training,Task analysis,Image edge detection,Deep learning,highway crack,semantic segmentation,U-Net,unmanned aerial vehicle (UAV)
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