Phenological visual rhythms: Compact representations for fine-grained plant species identification

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dc.citation.volume81
dc.contributor.authorAlmeida, Jurandy [UNIFESP]
dc.contributor.authordos Santos, Jefersson A.
dc.contributor.authorAlberton, Bruna
dc.contributor.authorMorellato, Leonor Patricia C.
dc.contributor.authorTorres, Ricardo da S.
dc.coverageAmsterdam
dc.date.accessioned2020-07-31T12:47:43Z
dc.date.available2020-07-31T12:47:43Z
dc.date.issued2016
dc.description.abstractPlant phenology, the study of recurrent life cycles events and its relationship to climate, is a key discipline in climate change research. In this context, digital cameras have been effectively used to monitor leaf flushing and senescence on vegetations across the world. A primary condition for the phenological observation refers to the correct identification of plants by taking into account time series associated with their crowns in the digital images. 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. Here, we focus on applications of our approach for plant species identification. In this scenario, visual rhythms are characterized by image description algorithms. A comparative analysis of different descriptors is conducted and discussed. Experimental results show that our approach presents high accuracy on identifying individual plant species from its specific visual rhythm. Additionally, our representation is compact, making it suitable for long-term data series. (C) 2015 Elsevier B.V. All rights reserved.en
dc.description.affiliationFed Univ Sao Paulo UNIFESP, Inst Sci & Technol, BR-12247014 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationFed Univ Minas Gerais UFMG, Dept Comp Sci, BR-31270010 Belo Horizonte, MG, Brazil
dc.description.affiliationSao Paulo State Univ UNESP, Inst Biosci, Dept Bot, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationUniv Campinas UNICAMP, Inst Comp, BR-13083852 Campinas, SP, Brazil
dc.description.affiliationUnifespInstitute of Science and Technology, Universidade Federal de São Paulo (UNIFESP), 12247-014 São José dos Campos, SP, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-Microsoft Research Virtual Institute
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.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) PVE
dc.description.sponsorshipIDFAPESP-Microsoft Research Virtual Institute: 2010/52113-5
dc.description.sponsorshipIDFAPESP-Microsoft Research Virtual Institute: 2013/50169-1
dc.description.sponsorshipIDFAPESP-Microsoft Research Virtual Institute: 2013/50155-0
dc.description.sponsorshipIDCNPq: 449638/2014-6
dc.description.sponsorshipIDCNPq: 310761/2014-0
dc.description.sponsorshipIDCNPq: 306587/2009-2
dc.description.sponsorshipIDFAPESP: 2007/52015-0
dc.description.sponsorshipIDFAPESP: 2007/59779-6
dc.description.sponsorshipIDFAPESP: 2009/18438-7
dc.description.sponsorshipIDFAPESP: 2010/51307-0
dc.description.sponsorshipIDFAPESP: 2014/00215-0
dc.description.sponsorshipIDFAPEMIG: APQ-00768-14
dc.description.sponsorshipIDCNPq PVE: 400717/2013-1
dc.format.extent90-100
dc.identifierhttp://dx.doi.org/10.1016/j.patrec.2015.11.028
dc.identifier.citationPattern Recognition Letters. Amsterdam, v. 81, p. 90-100, 2016.
dc.identifier.doi10.1016/j.patrec.2015.11.028
dc.identifier.issn0167-8655
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/57038
dc.identifier.wosWOS:000383822500012
dc.language.isoeng
dc.publisherElsevier Science Bv
dc.relation.ispartofPattern Recognition Letters
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectRemote phenologyen
dc.subjectPlant identificationen
dc.subjectImage analysisen
dc.subjectTime seriesen
dc.subjectVisual rhythmen
dc.titlePhenological visual rhythms: Compact representations for fine-grained plant species identificationen
dc.typeinfo:eu-repo/semantics/article
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