A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery

Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han. A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE T. Geoscience and Remote Sensing, 60:1-20, 2022. [doi]

@article{ShiHHCDDH22,
  title = {A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery},
  author = {Yue Shi and Liangxiu Han and Wenjiang Huang and Sheng Chang and Yingying Dong and Darren Dancey and Lianghao Han},
  year = {2022},
  doi = {10.1109/TGRS.2021.3058782},
  url = {https://doi.org/10.1109/TGRS.2021.3058782},
  researchr = {https://researchr.org/publication/ShiHHCDDH22},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Geoscience and Remote Sensing},
  volume = {60},
  pages = {1-20},
}