Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Endmember Independence and Spatial Weighted Abundance

Jingyan Zhang, Xiangrong Zhang, Licheng Jiao. Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Endmember Independence and Spatial Weighted Abundance. Remote Sensing, 13(12):2348, 2021. [doi]

@article{ZhangZJ21,
  title = {Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Endmember Independence and Spatial Weighted Abundance},
  author = {Jingyan Zhang and Xiangrong Zhang and Licheng Jiao},
  year = {2021},
  doi = {10.3390/rs13122348},
  url = {https://doi.org/10.3390/rs13122348},
  researchr = {https://researchr.org/publication/ZhangZJ21},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {13},
  number = {12},
  pages = {2348},
}