A new smoothness based strategy for semi-supervised atmospheric correction: Application to the léman-Baïkal campaign

M. Cubero-Castan, D. Constantin, K. Barbieux, V. Nouchi, Y. Akhtman, B. Merminod. A new smoothness based strategy for semi-supervised atmospheric correction: Application to the léman-Baïkal campaign. In 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015, Tokyo, Japan, June 2-5, 2015. pages 1-4, IEEE, 2015. [doi]

@inproceedings{Cubero-CastanCB15,
  title = {A new smoothness based strategy for semi-supervised atmospheric correction: Application to the léman-Baïkal campaign},
  author = {M. Cubero-Castan and D. Constantin and K. Barbieux and V. Nouchi and Y. Akhtman and B. Merminod},
  year = {2015},
  doi = {10.1109/WHISPERS.2015.8075379},
  url = {https://doi.org/10.1109/WHISPERS.2015.8075379},
  researchr = {https://researchr.org/publication/Cubero-CastanCB15},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015, Tokyo, Japan, June 2-5, 2015},
  publisher = {IEEE},
  isbn = {978-1-4673-9015-6},
}