Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder

Long Gao, Chengyi Wang, Kai Liu 0006, Shaohui Chen, Guannan Dong, Hongbo Su. Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder. Remote Sensing, 14(13):3003, 2022. [doi]

@article{GaoW0CDS22,
  title = {Extraction of Floating Raft Aquaculture Areas from Sentinel-1 SAR Images by a Dense Residual U-Net Model with Pre-Trained Resnet34 as the Encoder},
  author = {Long Gao and Chengyi Wang and Kai Liu 0006 and Shaohui Chen and Guannan Dong and Hongbo Su},
  year = {2022},
  doi = {10.3390/rs14133003},
  url = {https://doi.org/10.3390/rs14133003},
  researchr = {https://researchr.org/publication/GaoW0CDS22},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {14},
  number = {13},
  pages = {3003},
}