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dc.contributor.authorDos Santos, Lilian Chaves Brandao
dc.contributor.authorAlmeida, Jurandy
dc.contributor.authorDos Santos, Jefersson Alex D.
dc.contributor.authorGuimaraes, Silvio Jamil Ferzoli
dc.contributor.authorDe Albuquerque Araujo, Arnaldo
dc.contributor.authorAlberton, Bruna [UNESP]
dc.contributor.authorMorellato, Leonor Patricia Cerdeira [UNESP]
dc.contributor.authorDa Silva Torres, Ricardo
dc.date.accessioned2018-12-11T17:24:46Z
dc.date.available2018-12-11T17:24:46Z
dc.date.issued2014-01-01
dc.identifierhttp://dx.doi.org/10.1109/eScience.2014.23
dc.identifier.citationProceedings - 2014 IEEE 10th International Conference on eScience, eScience 2014, v. 1, p. 263-270.
dc.identifier.urihttp://hdl.handle.net/11449/177276
dc.description.abstractPlant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging techniques for phenological observation allows the extraction and analysis of visual characteristics based on color and texture information with the objective of determining plant life cycle changes, such as the beginning of the leaf flushing or the senescence period. This paper presents a novel approach for detecting phenological changes by analyzing image temporal series. Our method is based on the use of visual rhythm analysis and the adoption of a dissimilarity measure to detect visual changes in the time line. Experiments were conducted on a three-year data set composed of 3,538 vegetation images and 21 samples of 6 different species of interest. Results demonstrate that the proposed change detection approach is able to effectively identify phenological events.en
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent263-270
dc.language.isoeng
dc.relation.ispartofProceedings - 2014 IEEE 10th International Conference on eScience, eScience 2014
dc.sourceScopus
dc.titlePhenological event detection by visual rhythms dissimilarity analysisen
dc.typeTrabalho apresentado em evento
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionPontifícia Universidade Católica de Minas Gerais, PUC-Minas
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.description.affiliationDepartment of Computer Science, Universidade Federal de Minas Gerais 'UFMG
dc.description.affiliationInstitute of Science and Technology, Federal University of São Paulo 'UNIFESP
dc.description.affiliationPontifícia Universidade Católica de Minas Gerais, PUC-Minas
dc.description.affiliationDepartment of Botany, São Paulo State University 'UNESP
dc.description.affiliationInstitute of Computing, University of Campinas 'UNICAMP
dc.description.affiliationUnespDepartment of Botany, São Paulo State University 'UNESP
dc.identifier.doi10.1109/eScience.2014.23
dc.description.sponsorshipIdCAPES: 2007/59779-6
dc.description.sponsorshipIdFAPESP: 2010/51307-0
dc.identifier.scopus2-s2.0-84919480155
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