A Hyperspectral Anomaly Detection Method Based on Low-Rank and Sparse Decomposition With Density Peak Guided Collaborative Representation

Shou Feng, Shulu Tang, Chunhui Zhao, Ying Cui. A Hyperspectral Anomaly Detection Method Based on Low-Rank and Sparse Decomposition With Density Peak Guided Collaborative Representation. IEEE T. Geoscience and Remote Sensing, 60:1-13, 2022. [doi]

@article{FengTZC22,
  title = {A Hyperspectral Anomaly Detection Method Based on Low-Rank and Sparse Decomposition With Density Peak Guided Collaborative Representation},
  author = {Shou Feng and Shulu Tang and Chunhui Zhao and Ying Cui},
  year = {2022},
  doi = {10.1109/TGRS.2021.3054736},
  url = {https://doi.org/10.1109/TGRS.2021.3054736},
  researchr = {https://researchr.org/publication/FengTZC22},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Geoscience and Remote Sensing},
  volume = {60},
  pages = {1-13},
}