Deep stacking network with coarse features for hyperspectral image classification

@article{He2016DeepSN,
  title={Deep stacking network with coarse features for hyperspectral image classification},
  author={Mingyi He and Xiaohui Li},
  journal={2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)},
  year={2016},
  pages={1-6}
}
Hyperspectral image (HSI) classification attracts increasing attentions in remote sensing community for its academic significance and potential wide applications. Although most of used existing “intelligent” methods extracting the features of original hyperspectral data are based on shallow-layer networks such as neural network (NN) and support vector machine (SVM) for its simplicity in realization, two deep neural networks (DNN), i.e. the deep convolutional network (DCN) and the deep belief… CONTINUE READING