Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery

@article{Zhong2013MultipleSpectralBandCF,
  title={Multiple-Spectral-Band CRFs for Denoising Junk Bands of Hyperspectral Imagery},
  author={Ping Zhong and Runsheng Wang},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2013},
  volume={51},
  pages={2260-2275}
}
Denoising of hyperspectral imagery in the domain of imaging spectroscopy by conditional random fields (CRFs) is addressed in this work. For denoising of hyperspectral imagery, the strong dependencies across spatial and spectral neighbors have been proved to be very useful. Many available hyperspectral image denoising algorithms adopt multidimensional tools to deal with the problems and thus naturally focus on the use of the spectral dependencies. However, few of them were specifically designed… CONTINUE READING
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