Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models

@article{Tong2018LandCoverCW,
  title={Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models},
  author={Xin-Yi Tong and G. Xia and Qikai Lu and H. Shen and Shengyang Li and Shucheng You and Liangpei Zhang},
  journal={Remote Sensing of Environment},
  year={2018},
  volume={237},
  pages={111322}
}
  • Xin-Yi Tong, G. Xia, +4 authors Liangpei Zhang
  • Published 2018
  • Computer Science
  • Remote Sensing of Environment
  • Abstract In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex information brought by the increased spatial resolution and the data disturbances caused by different conditions of image acquisition, it is often difficult to find an efficient method for achieving accurate land-cover classification with high-resolution and heterogeneous remote sensing images. In this paper, we propose a scheme to… CONTINUE READING
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