Unsupervised Spectral Pattern Recognition for Multispectral Images by means of a Genetic Programming approach

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@InProceedings{falco:2002:usprfmibmoagpa,
  author =       "Ivanoe {De Falco} and Antonio Della Cioppa and 
                 Ernesto Tarantino",
  title =        "Unsupervised Spectral Pattern Recognition for
                 Multispectral Images by means of a Genetic Programming
                 approach",
  booktitle =    "Proceedings of the 2002 Congress on Evolutionary
                 Computation CEC2002",
  editor =       "David B. Fogel and Mohamed A. El-Sharkawi and 
                 Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and 
                 Mark Shackleton",
  pages =        "231--236",
  year =         "2002",
  month =        "12-17 " # may,
  publisher =    "IEEE Press",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  organisation = "IEEE Neural Network Council (NNC), Institution of
                 Electrical Engineers (IEE), Evolutionary Programming
                 Society (EPS)",
  ISBN =         "0-7803-7278-6",
  notes =        "CEC 2002 - A joint meeting of the IEEE, the
                 Evolutionary Programming Society, and the IEE. Held in
                 connection with the World Congress on Computational
                 Intelligence (WCCI 2002)",
  keywords =     "genetic algorithms, genetic programming, clustered
                 output image, genetic programming, genetic programming
                 approach, multispectral images, unsupervised pixel
                 classification, unsupervised spectral pattern
                 recognition, pattern recognition, unsupervised
                 learning",
  DOI =          "doi:10.1109/CEC.2002.1006239",
  abstract =     "An innovative approach to spectral pattern recognition
                 for multispectral images based on Genetic Programming
                 is introduced. The problem is faced in terms of
                 unsupervised pixel classification. The system is tested
                 on a multispectral image with 31 spectral bands and 256
                 by 256 pixels. A good quality clustered output image is
                 obtained.",
}

Genetic Programming entries for Ivanoe De Falco Antonio Della Cioppa Ernesto Tarantino

Citations