Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar

Yuki Sunaga, Ryo Natsuaki, Akira Hirose. Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar. In Long Cheng 0001, Andrew Chi-Sing Leung, Seiichi Ozawa, editors, Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I. Volume 11301 of Lecture Notes in Computer Science, pages 340-349, Springer, 2018. [doi]

@inproceedings{SunagaNH18,
  title = {Proposal of Complex-Valued Convolutional Neural Networks for Similar Land-Shape Discovery in Interferometric Synthetic Aperture Radar},
  author = {Yuki Sunaga and Ryo Natsuaki and Akira Hirose},
  year = {2018},
  doi = {10.1007/978-3-030-04167-0_31},
  url = {https://doi.org/10.1007/978-3-030-04167-0_31},
  researchr = {https://researchr.org/publication/SunagaNH18},
  cites = {0},
  citedby = {0},
  pages = {340-349},
  booktitle = {Neural Information Processing - 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I},
  editor = {Long Cheng 0001 and Andrew Chi-Sing Leung and Seiichi Ozawa},
  volume = {11301},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-04167-0},
}