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dc.contributor.authorVidal-Fernández, Eva
dc.contributor.authorAlmendros Jiménez, Jesús Manuel 
dc.contributor.authorPiedra Fernández, José Antonio 
dc.contributor.authorCantón-Garbín, Manuel
dc.date.accessioned2017-11-17T09:37:02Z
dc.date.available2017-11-17T09:37:02Z
dc.date.issued2016
dc.identifier.isbnISBN: 978-3-319-47222-5
dc.identifier.urihttp://hdl.handle.net/10835/5308
dc.description.abstractThe processing of ocean satellite images has as goal the detection of phenomena related with ocean dynamics. In this context, Mesoscale Oceanic Structures (MOS) play an essential role. In this chapter we will present the tool developed in our group in order to extract knowledge rules for the retrieval of MOS in ocean satellite images. We will describe the implementation of the tool: the workflow associated with the tool, the user interface, the class structure, and the database of the tool. Additionally, the experimental results obtained with the tool in terms of fuzzy knowledge rules as well as labeled structures with these rules are shown. These results have been obtained with the tool analyzing chlorophyll and temperature images of the Canary Islands and North West African coast captured by the SeaWiFS and MODIS-Aqua sensors.es_ES
dc.language.isoeses_ES
dc.relationinfo:eu-repo/grantAgreement/ES/MINECO/TIN2013-41576-R/ES/Evolución de sistemas dinámicos en la nube: Un escenario marco hacia las interfaces de usuario inteligentes/ESDNEMIUIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceHybrid Soft Computing for Image Segmentation, Springer International Publishing AG, Cham, Switzerland, pp. 137-162es_ES
dc.titleExtraction of Knowledge Rules for the Retrieval of Mesoscale Oceanic Structures in Ocean Satellite Imageses_ES
dc.typeinfo:eu-repo/semantics/reportes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-319-47223-2_6
dc.relation.projectIDTIN2013-41576-Res_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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