Flood Area Detection from a Pair of Sentinel-1 Synthetic Aperture Radar Images Using Res-Unet Based Method

Raveerat Jaturapitpornchai, Ryo Saito, Naruo Kanemoto, Shigeki Kuzuoka. Flood Area Detection from a Pair of Sentinel-1 Synthetic Aperture Radar Images Using Res-Unet Based Method. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022. pages 1023-1026, IEEE, 2022. [doi]

@inproceedings{Jaturapitpornchai22,
  title = {Flood Area Detection from a Pair of Sentinel-1 Synthetic Aperture Radar Images Using Res-Unet Based Method},
  author = {Raveerat Jaturapitpornchai and Ryo Saito and Naruo Kanemoto and Shigeki Kuzuoka},
  year = {2022},
  doi = {10.1109/IGARSS46834.2022.9884744},
  url = {https://doi.org/10.1109/IGARSS46834.2022.9884744},
  researchr = {https://researchr.org/publication/Jaturapitpornchai22},
  cites = {0},
  citedby = {0},
  pages = {1023-1026},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, July 17-22, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-2792-0},
}