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

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  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

                 Also known as \cite{7325699}",

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