Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine

Na Li, Jiao Shi, Maoguo Gong. Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine. In Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang, editors, Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I. Volume 681 of Communications in Computer and Information Science, pages 438-444, Springer, 2016. [doi]

@inproceedings{LiSG16-3,
  title = {Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine},
  author = {Na Li and Jiao Shi and Maoguo Gong},
  year = {2016},
  doi = {10.1007/978-981-10-3611-8_39},
  url = {http://dx.doi.org/10.1007/978-981-10-3611-8_39},
  researchr = {https://researchr.org/publication/LiSG16-3},
  cites = {0},
  citedby = {0},
  pages = {438-444},
  booktitle = {Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I},
  editor = {Maoguo Gong and Linqiang Pan and Tao Song and Gexiang Zhang},
  volume = {681},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-10-3610-1},
}