Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification

Annalisa Appice, Pietro Guccione. Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification. In Toon Calders, Michelangelo Ceci, Donato Malerba, editors, Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings. Volume 9956 of Lecture Notes in Computer Science, pages 295-309, 2016. [doi]

@inproceedings{AppiceG16,
  title = {Exploiting Spatial Correlation of Spectral Signature for Training Data Selection in Hyperspectral Image Classification},
  author = {Annalisa Appice and Pietro Guccione},
  year = {2016},
  doi = {10.1007/978-3-319-46307-0_19},
  url = {http://dx.doi.org/10.1007/978-3-319-46307-0_19},
  researchr = {https://researchr.org/publication/AppiceG16},
  cites = {0},
  citedby = {0},
  pages = {295-309},
  booktitle = {Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings},
  editor = {Toon Calders and Michelangelo Ceci and Donato Malerba},
  volume = {9956},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-46306-3},
}