Road Detection From Remote Sensing Images by Generative Adversarial Networks

@article{Shi2018RoadDF,
  title={Road Detection From Remote Sensing Images by Generative Adversarial Networks},
  author={Qian Shi and Xiaoping Liu and Xia Li},
  journal={IEEE Access},
  year={2018},
  volume={6},
  pages={25486-25494}
}
Road detection with high-precision from very high resolution remote sensing imagery is very important in a huge variety of applications. However, most existing approaches do not automatically extract the road with a smooth appearance and accurate boundaries. To address this problem, we proposed a novel end-to-end generative adversarial network. In particular, we construct a convolutional network based on adversarial training that could discriminate between segmentation maps coming either from… CONTINUE READING

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