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A fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle

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UFCN

This is an official implementation of UFCN: A fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle, research published in JARS, SPIE, here.

Citation


If you use the UFCN work and associated models, use the following citation:

BIBTEX

@article{
kestur2018ufcn,

title={UFCN: a fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle},

author={Kestur, Ramesh and Farooq, Shariq and Abdal, Rameen and Mehraj, Emad and Narasipura, Omkar and Mudigere, Meenavathi},

journal={Journal of Applied Remote Sensing},

volume={12},

number={1},

pages={016020},

year={2018},

publisher={International Society for Optics and Photonics}

}

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A fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle

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