Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

@article{Fu2017ClassificationFH,
  title={Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network},
  author={Gang Fu and Changjun Liu and Rong Zhou and Tao Sun and Qijian Zhang},
  journal={Remote Sensing},
  year={2017},
  volume={9},
  pages={498}
}
As a variant of Convolutional Neural Networks (CNNs) in Deep Learning, the Fully Convolutional Network (FCN) model achieved state-of-the-art performance for natural image semantic segmentation. In this paper, an accurate classification approach for high resolution remote sensing imagery based on the improved FCN model is proposed. Firstly, we improve the… CONTINUE READING

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