A Technique to Classify Sugarcane Crop from Sentinel-2 Satellite Imagery Using U-Net Architecture

Shyamal Virnodkar, V. K. Pachghare, Sagar Murade. A Technique to Classify Sugarcane Crop from Sentinel-2 Satellite Imagery Using U-Net Architecture. In Chhabi Rani Panigrahi, Bibudhendu Pati, Prasant Mohapatra, Rajkumar Buyya, Kuan-Ching Li, editors, Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019, Volume 2. Volume 1199 of Advances in Intelligent Systems and Computing, pages 322-330, Springer, 2019. [doi]

@inproceedings{VirnodkarPM19,
  title = {A Technique to Classify Sugarcane Crop from Sentinel-2 Satellite Imagery Using U-Net Architecture},
  author = {Shyamal Virnodkar and V. K. Pachghare and Sagar Murade},
  year = {2019},
  doi = {10.1007/978-981-15-6353-9_29},
  url = {https://doi.org/10.1007/978-981-15-6353-9_29},
  researchr = {https://researchr.org/publication/VirnodkarPM19},
  cites = {0},
  citedby = {0},
  pages = {322-330},
  booktitle = {Progress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019, Volume 2},
  editor = {Chhabi Rani Panigrahi and Bibudhendu Pati and Prasant Mohapatra and Rajkumar Buyya and Kuan-Ching Li},
  volume = {1199},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-981-15-6353-9},
}