Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery

@article{Zhong2014JointlyLT,
  title={Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery},
  author={Ping Zhong and Runsheng Wang},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2014},
  volume={25},
  pages={1319-1334}
}
Despite much advance obtained in hyperspectral image sensors, they are still very sensitive to the noise, and thus cause the captured data to carry enough noise to degrade the classification results. The traditional approach first resorts to image denoising and then feeds the denoised image into a classifier. However, such a straightforward approach, treating denoising and classification separately, suffers greatly from neglecting their impacts on each other. This paper presents a new… CONTINUE READING
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