Denoising hyperspectral images using spectral domain statistics

@article{Lam2012DenoisingHI,
  title={Denoising hyperspectral images using spectral domain statistics},
  author={Antony Lam and Imari Sato and Yoichi Sato},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year={2012},
  pages={477-480}
}
Hyperspectral imaging has proven useful in a diverse range of applications in agriculture, diagnostic medicine, and surveillance to name a few. However, conventional hyperspectral images (HSIs) tend to be noisy due to limited light in individual bands; thus making denoising necessary. Previous methods for HSI de-noising have viewed the entire HSI as a general 3D volume or focused on processing the spatial domain. However, past findings suggest that spectral distributions exhibit less variation… CONTINUE READING

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