Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling

Hunsoo Song, Yongil Kim. Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling. In Joint Urban Remote Sensing Event, JURSE 2019, Vannes, France, May 22-24, 2019. pages 1-4, IEEE, 2019. [doi]

@inproceedings{SongK19-4,
  title = {Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling},
  author = {Hunsoo Song and Yongil Kim},
  year = {2019},
  doi = {10.1109/JURSE.2019.8809031},
  url = {https://doi.org/10.1109/JURSE.2019.8809031},
  researchr = {https://researchr.org/publication/SongK19-4},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {Joint Urban Remote Sensing Event, JURSE 2019, Vannes, France, May 22-24, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-0009-8},
}