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

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@InProceedings{Pereira:2016:CSCI,

• 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

Citations