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

Wei Feng, Wenjiang Huang, Huichun Ye, Longlong Zhao. Synthetic Minority Over-Sampling Technique Based Rotation Forest for the Classification of Unbalanced Hyperspectral Data. In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018. pages 2651-2654, IEEE, 2018. [doi]

@inproceedings{FengHYZ18,
  title = {Synthetic Minority Over-Sampling Technique Based Rotation Forest for the Classification of Unbalanced Hyperspectral Data},
  author = {Wei Feng and Wenjiang Huang and Huichun Ye and Longlong Zhao},
  year = {2018},
  doi = {10.1109/IGARSS.2018.8518242},
  url = {https://doi.org/10.1109/IGARSS.2018.8518242},
  researchr = {https://researchr.org/publication/FengHYZ18},
  cites = {0},
  citedby = {0},
  pages = {2651-2654},
  booktitle = {2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, July 22-27, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-7150-4},
}