Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures

Siwei Feng, Marco F. Duarte, Mario Parente. Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures. In 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Boston, MA, USA, June 7-12, 2015. pages 19-27, IEEE, 2015. [doi]

@inproceedings{FengDP15,
  title = {Universality of wavelet-based non-homogeneous hidden Markov chain model features for hyperspectral signatures},
  author = {Siwei Feng and Marco F. Duarte and Mario Parente},
  year = {2015},
  doi = {10.1109/CVPRW.2015.7301379},
  url = {http://dx.doi.org/10.1109/CVPRW.2015.7301379},
  researchr = {https://researchr.org/publication/FengDP15},
  cites = {0},
  citedby = {0},
  pages = {19-27},
  booktitle = {2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Boston, MA, USA, June 7-12, 2015},
  publisher = {IEEE},
  isbn = {978-1-4673-6759-2},
}