Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data

Wei Feng 0004, Gabriel Dauphin, Wenjiang Huang, Yinghui Quan, Wenxing Bao, Mingquan Wu, Qiang Li. Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12(7):2159-2169, 2019. [doi]

@article{FengDHQBWL19,
  title = {Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data},
  author = {Wei Feng 0004 and Gabriel Dauphin and Wenjiang Huang and Yinghui Quan and Wenxing Bao and Mingquan Wu and Qiang Li},
  year = {2019},
  doi = {10.1109/JSTARS.2019.2922297},
  url = {https://doi.org/10.1109/JSTARS.2019.2922297},
  researchr = {https://researchr.org/publication/FengDHQBWL19},
  cites = {0},
  citedby = {0},
  journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
  volume = {12},
  number = {7},
  pages = {2159-2169},
}