A Low Cost Methodology for Multispectral Image Classification

Michele Mangiameli, Giuseppe Mussumeci, Alessio Candiano. A Low Cost Methodology for Multispectral Image Classification. In Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Elena N. Stankova, Carmelo Maria Torre, Ana Maria A. C. Rocha, David Taniar, Bernady O. Apduhan, Eufemia Tarantino, Yeonseung Ryu, editors, Computational Science and Its Applications - ICCSA 2018 - 18th International Conference, Melbourne, VIC, Australia, July 2-5, 2018, Proceedings, Part V. Volume 10964 of Lecture Notes in Computer Science, pages 263-280, Springer, 2018. [doi]

@inproceedings{MangiameliMC18,
  title = {A Low Cost Methodology for Multispectral Image Classification},
  author = {Michele Mangiameli and Giuseppe Mussumeci and Alessio Candiano},
  year = {2018},
  doi = {10.1007/978-3-319-95174-4_22},
  url = {https://doi.org/10.1007/978-3-319-95174-4_22},
  researchr = {https://researchr.org/publication/MangiameliMC18},
  cites = {0},
  citedby = {0},
  pages = {263-280},
  booktitle = {Computational Science and Its Applications - ICCSA 2018 - 18th International Conference, Melbourne, VIC, Australia, July 2-5, 2018, Proceedings, Part V},
  editor = {Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Elena N. Stankova and Carmelo Maria Torre and Ana Maria A. C. Rocha and David Taniar and Bernady O. Apduhan and Eufemia Tarantino and Yeonseung Ryu},
  volume = {10964},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-95174-4},
}