Evaluation of time series distance functions in the task of detecting remote phenology patterns

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dc.contributor.authorConti, José C.
dc.contributor.authorFarial, Fabio A.
dc.contributor.authorAlmeida, Jurandy
dc.contributor.authorAlberton, Bruna [UNESP]
dc.contributor.authorMorellato, Leonor P.C. [UNESP]
dc.contributor.authorCamolesi, Luiz
dc.contributor.authorDa Torres, Ricardo S.
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2018-12-11T17:24:46Z
dc.date.available2018-12-11T17:24:46Z
dc.date.issued2014-01-01
dc.description.abstractPhenology is the study of periodic natural phenomena and their relationship to climate. Usually, phenology studies consider the identification of patterns on temporal data. In those studies, several phenological change patterns are often encoded in time series for analysis and knowledge extraction. In this paper, we evaluate the effectiveness of several time series similarity functions in the task of classifying time series related to phonological phenomena characterized by near-surface vegetation indices extracted from images. In addition, we performed a correlation analysis to identify potential candidates for combination.en
dc.description.affiliationFaculty of Technology, University of Campinas-UNICAMP
dc.description.affiliationRECOD Lab, Institute of Computing, University of Campinas -UNICAMP
dc.description.affiliationPhenology Lab, Dept. of Botany, São Paulo State University - UNESP
dc.description.affiliationInstitute of Science and Technology, Federal University of Sao Paulo - UNIFESP
dc.description.affiliationUnespPhenology Lab, Dept. of Botany, São Paulo State University - UNESP
dc.format.extent3126-3131
dc.identifierhttp://dx.doi.org/10.1109/ICPR.2014.539
dc.identifier.citationProceedings - International Conference on Pattern Recognition, p. 3126-3131.
dc.identifier.doi10.1109/ICPR.2014.539
dc.identifier.issn1051-4651
dc.identifier.scopus2-s2.0-84919935087
dc.identifier.urihttp://hdl.handle.net/11449/177277
dc.language.isoeng
dc.relation.ispartofProceedings - International Conference on Pattern Recognition
dc.relation.ispartofsjr0,307
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleEvaluation of time series distance functions in the task of detecting remote phenology patternsen
dc.typeTrabalho apresentado em evento

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