Phenological event detection by visual rhythms dissimilarity analysis

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorDos Santos, Lilian Chaves Brandao-
Autor(es): dc.creatorAlmeida, Jurandy-
Autor(es): dc.creatorDos Santos, Jefersson Alex D.-
Autor(es): dc.creatorGuimaraes, Silvio Jamil Ferzoli-
Autor(es): dc.creatorDe Albuquerque Araujo, Arnaldo-
Autor(es): dc.creatorAlberton, Bruna-
Autor(es): dc.creatorMorellato, Leonor Patricia Cerdeira-
Autor(es): dc.creatorDa Silva Torres, Ricardo-
Data de aceite: dc.date.accessioned2021-03-11T00:51:09Z-
Data de disponibilização: dc.date.available2021-03-11T00:51:09Z-
Data de envio: dc.date.issued2018-12-11-
Data de envio: dc.date.issued2018-12-11-
Data de envio: dc.date.issued2014-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/eScience.2014.23-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/177276-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/177276-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionCAPES: 2007/59779-6-
Descrição: dc.descriptionProcesso FAPESP: 2010/51307-0-
Descrição: dc.descriptionPlant 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.-
Formato: dc.format263-270-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 2014 IEEE 10th International Conference on eScience, eScience 2014-
Direitos: dc.rightsopenAccess-
Título: dc.titlePhenological event detection by visual rhythms dissimilarity analysis-
Aparece nas coleções:Repositório Institucional - Unesp

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