Gene Expression Programming-Fuzzy Logic Method for Crop Type Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{conf/icgec/OmkarRSBA12,

• author = "S. N. Omkar and Nikhil Ramaswamy and J. Senthilnath and S. Bharath and N. S. Anuradha",
• title = "Gene Expression Programming-Fuzzy Logic Method for Crop Type Classification",
• booktitle = "Sixth International Conference on Genetic and Evolutionary Computing (ICGEC 2012)",
• year = "2012",
• pages = "136--139",
• address = "Kitakushu",
• month = "25-28 " # aug,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• isbn13 = "978-1-4673-2138-9",
• URL = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6451318",
• DOI = "doi:10.1109/ICGEC.2012.97",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icgec/icgec2012.html#OmkarRSBA12",
• size = "4 pages",
• 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.",
• notes = "also known as \cite{6457194}",

}

Genetic Programming entries for S N Omkar Nikhil Ramaswamy J Senthilnath S Bharath N S Anuradha

Citations