Classifying remote sensing image using Gene Expression Programming algorithms
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- @InProceedings{conf/icnc/LiuZYPY13,
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author = "Mengwei Liu and Guanghong Zeng and Guohui Yuan and
Yabo Pei and Zili Yang",
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title = "Classifying remote sensing image using Gene Expression
Programming algorithms",
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booktitle = "Ninth International Conference on Natural Computation,
ICNC 2013",
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publisher = "IEEE",
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year = "2013",
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pages = "423--427",
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month = jul,
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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bibdate = "2014-05-21",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/icnc/icnc2013.html#LiuZYPY13",
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DOI = "doi:10.1109/ICNC.2013.6818013",
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abstract = "Gene Expression programming (GEP) is a new algorithm
of evolutionary computation, which possesses much more
powerful abilities of parallel computation and global
search to resolve complex problems. This paper
constructs the GEP classification model and carries out
experiments with Landsat Thematic Mapper(TM) image of
Dongguan city in 1997. The result shows that the GEP
classification model has good classification accuracy
and demonstrates effectiveness in remote sensing image
classification.",
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notes = "Also known as \cite{6818013}",
- }
Genetic Programming entries for
Mengwei Liu
Guanghong Zeng
Guohui Yuan
Yabo Pei
Zili Yang
Citations