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dc.contributor.authorPESARESI Martinoen_GB
dc.date.accessioned2015-01-24T01:18:22Z-
dc.date.available2015-01-23en_GB
dc.date.available2015-01-24T01:18:22Z-
dc.date.created2015-01-08en_GB
dc.date.issued2014en_GB
dc.date.submitted2014-10-27en_GB
dc.identifier.isbn978-92-79-43252-1en_GB
dc.identifier.issn1831-9424en_GB
dc.identifier.urihttp://bookshop.europa.eu/en/proceedings-of-the-2014-conference-on-big-data-from-space-bids-14--pbLBNA26868/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC92345-
dc.description.abstractGlobal fine-scale information extraction tasks using today’s remote sensing technologies are compared with Big Data Analytics tasks. Issues related to data classification, machine learning and evaluation of the results are discussed. A change of paradigm respect to the classical RS information processing model is proposed in order to cope with the Big RS Data characteristics.en_GB
dc.description.sponsorshipJRC.G.2-Global security and crisis managementen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherPublications Office of the European Unionen_GB
dc.relation.ispartofseriesJRC92345en_GB
dc.titleGLOBAL FINE-SCALE INFORMATION LAYERS: THE NEED OF A PARADIGM SHIFTen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.2788/1823en_GB
JRC Directorate:Space, Security and Migration

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