Hyperspectral Image Unmixing Based on Sparse and Minimum Volume Constrained Nonnegative Matrix Factorization

Denggang Li, Shutao Li, Huali Li. Hyperspectral Image Unmixing Based on Sparse and Minimum Volume Constrained Nonnegative Matrix Factorization. In Shutao Li, Chenglin Liu, Yaonan Wang, editors, Pattern Recognition - 6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part II. Volume 484 of Communications in Computer and Information Science, pages 44-52, Springer, 2014. [doi]

@inproceedings{LiLL14-17,
  title = {Hyperspectral Image Unmixing Based on Sparse and Minimum Volume Constrained Nonnegative Matrix Factorization},
  author = {Denggang Li and Shutao Li and Huali Li},
  year = {2014},
  doi = {10.1007/978-3-662-45643-9_5},
  url = {http://dx.doi.org/10.1007/978-3-662-45643-9_5},
  researchr = {https://researchr.org/publication/LiLL14-17},
  cites = {0},
  citedby = {0},
  pages = {44-52},
  booktitle = {Pattern Recognition - 6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part II},
  editor = {Shutao Li and Chenglin Liu and Yaonan Wang},
  volume = {484},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-662-45642-2},
}