Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami

Jérémie Sublime, Ekaterina Kalinicheva. Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami. Remote Sensing, 11(9):1123, 2019. [doi]

@article{SublimeK19,
  title = {Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami},
  author = {Jérémie Sublime and Ekaterina Kalinicheva},
  year = {2019},
  doi = {10.3390/rs11091123},
  url = {https://doi.org/10.3390/rs11091123},
  researchr = {https://researchr.org/publication/SublimeK19},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {11},
  number = {9},
  pages = {1123},
}