Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

@article{Gao2018HyperspectralIC,
  title={Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning},
  author={Qishuo Gao and Samsung Lim and Xiuping Jia},
  journal={Remote Sensing},
  year={2018},
  volume={10},
  pages={299}
}
Convolutional neural networks (CNNs) have been extended to hyperspectral imagery (HSI) classification due to its better feature representation and high performance, whereas multiple feature learning has shown its effectiveness in computer vision areas. This paper proposes a novel framework that takes advantage of both CNNs and multiple feature learning to better predict the class labels for HSI pixels. We built a novel CNN architecture with various features extracted from the raw imagery as… CONTINUE READING

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