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dc.contributor.authorGuttler, Fabio
dc.contributor.authorIenco, Dino
dc.contributor.authorTeisseire, Maguelonne
dc.contributor.authorNin Guerrero, Jordi
dc.contributor.authorPoncelet, Pascal
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2014-10-10T09:40:51Z
dc.date.available2014-12-31T03:30:57Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationGuttler, F. [et al.]. Towards the use of sequential patterns for detection and characterization of natural and agricultural areas. A: International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. "Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014: Montpellier, France, July 15-19, 2014: proceedings, part I". Montpellier: Springer, 2014, p. 97-106.
dc.identifier.isbn978-3-319-08795-5
dc.identifier.urihttp://hdl.handle.net/2117/24336
dc.description.abstractNowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Sistemes experts
dc.subject.lcshExpert systems (Computer science)
dc.subject.lcshData mining
dc.subject.lcshRemote sensing
dc.subject.otherData mining and remote sensing
dc.subject.otherTemporal patterns
dc.titleTowards the use of sequential patterns for detection and characterization of natural and agricultural areas
dc.typeConference report
dc.subject.lemacSistemes experts (Informàtica)
dc.subject.lemacMineria de dades
dc.subject.lemacImatges satel·litàries
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1007/978-3-319-08795-5_11
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-08795-5_11
dc.rights.accessOpen Access
local.identifier.drac15225865
dc.description.versionPostprint (author’s final draft)
local.citation.authorGuttler, F.; Ienco, D.; Teisseire, M.; Nin, J.; Poncelet, P.
local.citation.contributorInternational Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
local.citation.pubplaceMontpellier
local.citation.publicationNameInformation Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014: Montpellier, France, July 15-19, 2014: proceedings, part I
local.citation.startingPage97
local.citation.endingPage106


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