Application of Non-Linear Principal Component Analysis to Hyperspectral data for noise filtering using artificial neural networks

Alessandro Piscini, Giorgio Licciardi. Application of Non-Linear Principal Component Analysis to Hyperspectral data for noise filtering using artificial neural networks. In 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014, Lausanne, Switzerland, June 24-27, 2014. pages 1-4, IEEE, 2014. [doi]

@inproceedings{PisciniL14,
  title = {Application of Non-Linear Principal Component Analysis to Hyperspectral data for noise filtering using artificial neural networks},
  author = {Alessandro Piscini and Giorgio Licciardi},
  year = {2014},
  doi = {10.1109/WHISPERS.2014.8077576},
  url = {https://doi.org/10.1109/WHISPERS.2014.8077576},
  researchr = {https://researchr.org/publication/PisciniL14},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014, Lausanne, Switzerland, June 24-27, 2014},
  publisher = {IEEE},
  isbn = {978-1-4673-9012-5},
}