L0 Gradient Regularized Low-Rank Tensor Model for Hyperspectral Image Denoising

Minghua Wang, Qiang Wang 0001, Jocelyn Chanussot. L0 Gradient Regularized Low-Rank Tensor Model for Hyperspectral Image Denoising. In 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2019, Amsterdam, Netherlands, September 24-26, 2019. pages 1-6, IEEE, 2019. [doi]

@inproceedings{Wang0C19-2,
  title = {L0 Gradient Regularized Low-Rank Tensor Model for Hyperspectral Image Denoising},
  author = {Minghua Wang and Qiang Wang 0001 and Jocelyn Chanussot},
  year = {2019},
  doi = {10.1109/WHISPERS.2019.8920965},
  url = {https://doi.org/10.1109/WHISPERS.2019.8920965},
  researchr = {https://researchr.org/publication/Wang0C19-2},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2019, Amsterdam, Netherlands, September 24-26, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-5294-3},
}