Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification

Yuya Matsumoto, Ryo Natsuaki, Akira Hirose. Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 15:2914-2928, 2022. [doi]

@article{MatsumotoNH22,
  title = {Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification},
  author = {Yuya Matsumoto and Ryo Natsuaki and Akira Hirose},
  year = {2022},
  doi = {10.1109/JSTARS.2022.3164431},
  url = {https://doi.org/10.1109/JSTARS.2022.3164431},
  researchr = {https://researchr.org/publication/MatsumotoNH22},
  cites = {0},
  citedby = {0},
  journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
  volume = {15},
  pages = {2914-2928},
}