VISUAL RHYTHM-BASED TIME SERIES ANALYSIS FOR PHENOLOGY STUDIES

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorAlmeida, Jurandy-
Autor(es): dc.creatorSantos, Jefersson A. dos-
Autor(es): dc.creatorAlberton, Bruna C. [UNESP]-
Autor(es): dc.creatorMorellato, Leonor Patricia C. [UNESP]-
Autor(es): dc.creatorTorres, Ricardo da S.-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T00:08:24Z-
Data de disponibilização: dc.date.available2022-02-22T00:08:24Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2013-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196071-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196071-
Descrição: dc.descriptionPlant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. In this context, digital cameras have been successfully used as multi-channel imaging sensors, providing measures to estimate changes on phenological events, such as leaf flushing and senescence. We monitored leaf-changing patterns of a cerrado-savanna vegetation by taken daily digital images. For that, we extract leaf color information and correlated with phenological changes. In this way, time series associated with plant species are obtained, raising the need of using appropriate tools for mining patterns of interest. In this paper, we present a novel approach for representing phenological patterns of plant species. The proposed method is based on encoding time series as a visual rhythm, which is characterized by color description algorithms. A comparative analysis of different descriptors is conducted and discussed. Experimental results show that our approach presents high accuracy on identifying plant species.-
Descrição: dc.descriptionUniv Estadual Campinas, UNICAMP, Inst Comp, RECOD Lab, BR-13083852 Campinas, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, UNESP, Dept Bot, Phenol Lab, BR-13506900 Rio Claro, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, UNESP, Dept Bot, Phenol Lab, BR-13506900 Rio Claro, SP, Brazil-
Formato: dc.format4412-4416-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2013 20th Ieee International Conference On Image Processing (icip 2013)-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectremote phenology-
Palavras-chave: dc.subjectdigital cameras-
Palavras-chave: dc.subjectimage analysis-
Palavras-chave: dc.subjecttime series-
Palavras-chave: dc.subjectvisual rhythm-
Título: dc.titleVISUAL RHYTHM-BASED TIME SERIES ANALYSIS FOR PHENOLOGY STUDIES-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.