From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images

Bin Yang 0008, Yin-mao, Licheng Liu, Xinxin Liu 0002, Yuzhong Ma, Jing Li 0040. From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images. IEEE T. Geoscience and Remote Sensing, 61:1-14, 2023. [doi]

@article{YangMLLML23,
  title = {From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images},
  author = {Bin Yang 0008 and Yin-mao and Licheng Liu and Xinxin Liu 0002 and Yuzhong Ma and Jing Li 0040},
  year = {2023},
  doi = {10.1109/TGRS.2023.3262928},
  url = {https://doi.org/10.1109/TGRS.2023.3262928},
  researchr = {https://researchr.org/publication/YangMLLML23},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Geoscience and Remote Sensing},
  volume = {61},
  pages = {1-14},
}