Compressive Hyperspectral Imaging via Sparse Tensor and Nonlinear Compressed Sensing

@article{Yang2015CompressiveHI,
  title={Compressive Hyperspectral Imaging via Sparse Tensor and Nonlinear Compressed Sensing},
  author={Shuyuan Yang and Min Wang and Peng Li and Li Jin and Bin Wu and Licheng Jiao},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2015},
  volume={53},
  pages={5943-5957}
}
Recently, compressive hyperspectral imaging (CHI) has received increasing interests, which can recover a large range of scenes with a small number of sensors via compressed sensing (CS) theory. However, most of the available CHI methods separate and vectorize hyperspectral cubes into spatial and spectral vectors, which will result in heavy computational and storage burden in the recovery. Moreover, the complexity of real scene makes the sparsifying difficult and thus requires more measurements… CONTINUE READING
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