Active Deep Learning for Classification of Hyperspectral Images

@article{Liu2017ActiveDL,
  title={Active Deep Learning for Classification of Hyperspectral Images},
  author={Peng Liu and Hui Zhang and Kie B. Eom},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2017},
  volume={10},
  pages={712-724}
}
Active deep learning classification of hyperspectral images is considered in this paper. Deep learning has achieved success in many applications, but good-quality labeled samples are needed to construct a deep learning network. It is expensive getting good labeled samples in hyperspectral images for remote sensing applications. An active learning algorithm based on a weighted incremental dictionary learning is proposed for such applications. The proposed algorithm selects training samples that… CONTINUE READING
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