Gene Expression Programming-Fuzzy Logic Method for Crop Type Classification
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{conf/icgec/OmkarRSBA12,
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author = "S. N. Omkar and Nikhil Ramaswamy and
J. Senthilnath and S. Bharath and N. S. Anuradha",
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title = "Gene Expression Programming-Fuzzy Logic Method for
Crop Type Classification",
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booktitle = "Sixth International Conference on Genetic and
Evolutionary Computing (ICGEC 2012)",
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year = "2012",
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pages = "136--139",
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address = "Kitakushu",
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month = "25-28 " # aug,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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isbn13 = "978-1-4673-2138-9",
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URL = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6451318",
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DOI = "doi:10.1109/ICGEC.2012.97",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/icgec/icgec2012.html#OmkarRSBA12",
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size = "4 pages",
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abstract = "Crop type classification using remote sensing data
plays a vital role in planning cultivation activities
and for optimal usage of the available fertile land.
Thus a reliable and precise classification of
agricultural crops can help improve agricultural
productivity. Hence in this paper a gene expression
programming based fuzzy logic approach for multi-class
crop classification using Multispectral satellite image
is proposed. the purpose of this work is to use the
optimisation capabilities of GEP for tuning the fuzzy
membership functions. the capabilities of GEP as a
classifier is also studied. the proposed method is
compared to Bayesian and Maximum likelihood classifier
in terms of performance evaluation. from the results we
can conclude that the proposed method is effective for
classification.",
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notes = "also known as \cite{6457194}",
- }
Genetic Programming entries for
S N Omkar
Nikhil Ramaswamy
J Senthilnath
S Bharath
N S Anuradha
Citations