Spectral-spatial classification of hyperspectral image using autoencoders

@article{Lin2013SpectralspatialCO,
  title={Spectral-spatial classification of hyperspectral image using autoencoders},
  author={Zhouhan Lin and Yushi Chen and Xing Zhao and Gang Wang},
  journal={2013 9th International Conference on Information, Communications & Signal Processing},
  year={2013},
  pages={1-5}
}
Hyperspectral image (HSI) classification is a hot topic in the remote sensing community. This paper proposes a new framework of spectral-spatial feature extraction for HSI classification, in which for the first time the concept of deep learning is introduced. Specifically, the model of autoencoder is exploited in our framework to extract various kinds of features. First we verify the eligibility of autoencoder by following classical spectral information based classification and use autoencoders… CONTINUE READING
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