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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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