Three-Class Change Detection in Synthetic Aperture Radar Images Based on Deep Belief Network

Qiunan Zhao, Maoguo Gong, Hao Li, Tao Zhan, Qian Wang. Three-Class Change Detection in Synthetic Aperture Radar Images Based on Deep Belief Network. In Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, Xingyi Zhang, editors, Bio-Inspired Computing - Theories and Applications - 10th International Conference, BIC-TA 2015, Hefei, China, September 25-28, 2015, Proceedings. Volume 562 of Communications in Computer and Information Science, pages 696-705, Springer, 2015. [doi]

@inproceedings{ZhaoGLZW15,
  title = {Three-Class Change Detection in Synthetic Aperture Radar Images Based on Deep Belief Network},
  author = {Qiunan Zhao and Maoguo Gong and Hao Li and Tao Zhan and Qian Wang},
  year = {2015},
  doi = {10.1007/978-3-662-49014-3_62},
  url = {http://dx.doi.org/10.1007/978-3-662-49014-3_62},
  researchr = {https://researchr.org/publication/ZhaoGLZW15},
  cites = {0},
  citedby = {0},
  pages = {696-705},
  booktitle = {Bio-Inspired Computing - Theories and Applications - 10th International Conference, BIC-TA 2015, Hefei, China, September 25-28, 2015, Proceedings},
  editor = {Maoguo Gong and Linqiang Pan and Tao Song and Ke Tang and Xingyi Zhang},
  volume = {562},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-662-49013-6},
}