Population restarting: a study case of feature extraction from remotely sensed imagery using textural information
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Momm:2010:gecco,
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author = "Henrique G. Momm and Greg Easson",
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title = "Population restarting: a study case of feature
extraction from remotely sensed imagery using textural
information",
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booktitle = "GECCO '10: Proceedings of the 12th annual conference
on Genetic and evolutionary computation",
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year = "2010",
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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",
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isbn13 = "978-1-4503-0072-8",
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pages = "973--974",
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keywords = "genetic algorithms, genetic programming, Poster",
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month = "7-11 " # jul,
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organisation = "SIGEVO",
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address = "Portland, Oregon, USA",
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DOI = "doi:10.1145/1830483.1830656",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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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.",
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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
Citations