Population restarting: a study case of feature extraction from remotely sensed imagery using textural information

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

@InProceedings{Momm:2010:gecco,

• author = "Henrique G. Momm and Greg Easson",
• title = "Population restarting: a study case of feature extraction from remotely sensed imagery using textural information",
• booktitle = "GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation",
• year = "2010",
• editor = "Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano {van Hemert} and Leonardo Vanneschi and Carsten Witt",
• isbn13 = "978-1-4503-0072-8",
• pages = "973--974",
• keywords = "genetic algorithms, genetic programming, Poster",
• month = "7-11 " # jul,
• organisation = "SIGEVO",
• address = "Portland, Oregon, USA",
• DOI = "doi:10.1145/1830483.1830656",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• abstract = "Image features with similar spectral information but with distinct textural characteristics can be extracted through the use of textural operators. The challenge resides in the selection of the appropriate texture operators and their parameters from a larger set of possible textural operators. This matter is especially difficult when addressing problems using remotely sensed imagery. The presence of additional spectral channels increases the search space.",
• notes = "Also known as \cite{1830656} GECCO-2010 A joint meeting of the nineteenth international conference on genetic algorithms (ICGA-2010) and the fifteenth annual genetic programming conference (GP-2010)",

}

Genetic Programming entries for Henrique G Momm Greg Easson

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