Classifying remote sensing image using Gene Expression Programming algorithms

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

@InProceedings{conf/icnc/LiuZYPY13,

• author = "Mengwei Liu and Guanghong Zeng and Guohui Yuan and Yabo Pei and Zili Yang",
• title = "Classifying remote sensing image using Gene Expression Programming algorithms",
• booktitle = "Ninth International Conference on Natural Computation, ICNC 2013",
• publisher = "IEEE",
• year = "2013",
• pages = "423--427",
• month = jul,
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• bibdate = "2014-05-21",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icnc/icnc2013.html#LiuZYPY13",
• DOI = "doi:10.1109/ICNC.2013.6818013",
• 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.",
• notes = "Also known as \cite{6818013}",

}

Genetic Programming entries for Mengwei Liu Guanghong Zeng Guohui Yuan Yabo Pei Zili Yang

Citations