Geostatistical Data Fusion: Application to Red Edge Bands of Sentinel 2

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Maria Joao Pereira and Alaira Ramos and 
                 Ruben Nunes and Leonardo Azevedo and Amilcar Soares",
  booktitle =    "2016 International Conference on Computational Science
                 and Computational Intelligence (CSCI)",
  title =        "Geostatistical Data Fusion: Application to Red Edge
                 Bands of Sentinel 2",
  year =         "2016",
  pages =        "758--761",
  abstract =     "The new ESA Sentinel-2 satellite delivers images of
                 the red-edge band at a spatial resolution of 20m. These
                 bands are particular useful for vegetation monitoring
                 in general and present high potential of application in
                 precision agriculture. For this, we propose a data
                 fusion methodology for downscaling red edge bands to 10
                 m spatial resolution using the information of visible
                 and near infra-red band. The methodology is based on
                 inverse modelling by combining geostatistical
                 stochastic simulation methods and genetic programming.
                 A case study case presents the preliminary results.",
  keywords =     "genetic algorithms, genetic programming, inverse
                 modeling, data fusion, direct sequential cosimulation,
                 sentinel 2, red-edge bands",
  DOI =          "doi:10.1109/CSCI.2016.0147",
  month =        dec,
  notes =        "Also known as \cite{7881440}",

Genetic Programming entries for Maria Joao Pereira Alaira Ramos Ruben Nunes Leonardo Azevedo Amilcar Soares