Unsupervised land-cover classification through hyper-heuristic-based Harmony Search

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

@InProceedings{Papa:2015:ieeeIGARSS,

• author = "J. Papa and L. Papa and R. Pisani and D. Pereira",
• booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",
• title = "Unsupervised land-cover classification through hyper-heuristic-based Harmony Search",
• year = "2015",
• pages = "69--72",
• month = jul,
• keywords = "genetic algorithms, genetic programming, Clustering, Land-cover classification, Machine Learning",
• DOI = "doi:10.1109/IGARSS.2015.7325699",
• ISSN = "2153-6996",
• size = "4 pages",
• abstract = "Unsupervised land-cover classification aims at learning intrinsic properties of spectral and spatial features for the task of area coverage in urban and rural areas. In this paper, we propose to model the problem of optimising the well-known k-means algorithm by combining different variations of the Harmony Search technique using Genetic Programming (GP). We have shown GP can improve the recognition rates when using one optimisation technique only, but it still deserves a deeper study when we have a very good individual technique to be combined.",
• notes = "harmony search is just evolutionary strategies http://www.dennisweyland.net/blog/?p=12 http://dl.acm.org/citation.cfm?id=2433395

  Also known as \cite{7325699}",

}

Genetic Programming entries for Joao Paulo Papa Luciene Patrici Papa Rodrigo Jose Pisani Danillo Roberto Pereira

Citations