PIXELWISE TIME SERIES RETRIEVAL IN PHENOLOGICAL STUDIES

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dc.contributor.authorSantos, Elisangela Silva
dc.contributor.authorAlberton, Bruna [UNESP]
dc.contributor.authorMorellato, Leonor Patricia [UNESP]
dc.contributor.authorTorres, Ricardo da Silva
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-11T11:00:55Z
dc.date.available2020-12-11T11:00:55Z
dc.date.issued2019-01-01
dc.description.abstractThe support of time series similarity searches might be crucial in phenology studies, in which long-term time series analysis based on the identification of similar and different phenological patterns shared by individuals belonging to different species is a widely common task. In this paper, we introduce the use of well-established Information Retrieval (IR) technologies in the search of time series. The solution comprises four main steps: extraction of an image-based time series representation; image content description to encode time series properties and patterns; textual signature extraction based on image content descriptions; and textual signature indexing using off-the-shelf IR approaches. In this paper, we demonstrate both the effectiveness and the efficiency of the proposed solution in time series retrieval problems related to the management of phenological data associated with near-surface vegetation images.en
dc.description.affiliationUniv Estadual Campinas, Inst Comp, Campinas, Brazil
dc.description.affiliationUniv Estadual Paulista, Rio Claro, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Rio Claro, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCNPq: 307560/2016-3
dc.description.sponsorshipIdFAPESP: 2014/12236-1
dc.description.sponsorshipIdFAPESP: 2015/24494-8
dc.description.sponsorshipIdFAPESP: 2016/50250-1
dc.description.sponsorshipIdFAPESP: 2017/20945-0
dc.description.sponsorshipIdFAPESP: 2013/50155-0
dc.description.sponsorshipIdFAPESP: 2013/50169-1
dc.description.sponsorshipIdFAPESP: 2014/50715-9
dc.description.sponsorshipIdCAPES: 001
dc.format.extent6586-6589
dc.identifier.citation2019 Ieee International Geoscience And Remote Sensing Symposium (igarss 2019). New York: Ieee, p. 6586-6589, 2019.
dc.identifier.issn2153-6996
dc.identifier.urihttp://hdl.handle.net/11449/197698
dc.identifier.wosWOS:000519270606058
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2019 Ieee International Geoscience And Remote Sensing Symposium (igarss 2019)
dc.sourceWeb of Science
dc.subjecttime series retrieval
dc.subjectrecurrence plot
dc.subjectinformation retrieval
dc.subjectphenology
dc.titlePIXELWISE TIME SERIES RETRIEVAL IN PHENOLOGICAL STUDIESen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee

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