A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps

Victor-Emil Neagoe, Adrian-Dumitru Ciotec. A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps. In 2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, Australia, July 21-26, 2013. pages 1031-1034, IEEE, 2013. [doi]

@inproceedings{NeagoeC13,
  title = {A new approach for accurate classification of hyperspectral images using Virtual Sample Generation by Concurrent Self-Organizing Maps},
  author = {Victor-Emil Neagoe and Adrian-Dumitru Ciotec},
  year = {2013},
  doi = {10.1109/IGARSS.2013.6721339},
  url = {http://dx.doi.org/10.1109/IGARSS.2013.6721339},
  researchr = {https://researchr.org/publication/NeagoeC13},
  cites = {0},
  citedby = {0},
  pages = {1031-1034},
  booktitle = {2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013, Melbourne, Australia, July 21-26, 2013},
  publisher = {IEEE},
}