Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/341495
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSantos, Nathália Menini Cardoso dos-
dc.contributor.authorunicampAlmeida, Alexandre Esteves-
dc.contributor.authorunicampPedrini, Hélio-
dc.contributor.authorunicampTorres, Ricardo da Silva-
dc.typeArtigopt_BR
dc.titleA soft computing framework for image classification based on recurrence plotspt_BR
dc.contributor.authorMenini, Nathalia-
dc.contributor.authorAlmeida, Alexandre E.-
dc.contributor.authorLamparelli, Rubens-
dc.contributor.authorle Maire, Guerric-
dc.contributor.authordos Santos, Jefersson A.-
dc.contributor.authorPedrini, Helio-
dc.contributor.authorHirota, Marina-
dc.contributor.authorTorres, Ricardo da S.-
dc.subjectEucaliptopt_BR
dc.subject.otherlanguageEucalyptuspt_BR
dc.description.abstractSuitable time series representations play an important role in classification tasks. In this letter, we investigate the use of recurrence-plot-(RP)-based representations in the classification of eucalyptus regions in remote sensing images. The proposed framework is composed of three steps. First, time series associated with image pixels are represented by RP images; next, RP images are characterized by means of visual description approaches; finally, we use a soft computing framework based on genetic programing to discover an effective combination of time series dissimilarity functions to combine extracted features. Performed experiments in a eucalyptus classification problem demonstrated that the proposed framework is effective when compared to approaches based on the use of time series itselfpt_BR
dc.relation.ispartofIEEE geoscience and remote sensing letterspt_BR
dc.relation.ispartofabbreviationIEEE geosci. remote sens. lett.pt_BR
dc.publisher.cityNew York, NYpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherInstitute of Electrical and Electronics Engineerspt_BR
dc.date.issued2019-
dc.date.monthofcirculationFeb.pt_BR
dc.language.isoengpt_BR
dc.description.volume16pt_BR
dc.description.issuenumber2pt_BR
dc.description.firstpage320pt_BR
dc.description.lastpage324pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn1545-598Xpt_BR
dc.identifier.eissn1558-0571pt_BR
dc.identifier.doi10.1109/LGRS.2018.2872132pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8500137pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber307560/2016-3; 132847/2015-9; 305169/2015-7pt_BR
dc.description.sponsordocumentnumber88881.145912/2017-01pt_BR
dc.description.sponsordocumentnumber2018/06918-3; 2017/12646-3; 2016/26170-8; 2014/12236-1; 2015/02105-0; 2014/50715-9; 2013/50169-1; 2013/50155-0pt_BR
dc.date.available2020-05-15T12:18:02Z-
dc.date.accessioned2020-05-15T12:18:02Z-
dc.description.provenanceSubmitted by Mariana Aparecida Azevedo (mary1@unicamp.br) on 2020-05-15T12:18:02Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-08-27T19:16:56Z : No. of bitstreams: 1 000457356600033.pdf: 2721576 bytes, checksum: 771470d17b81ce8f048a0ab817a21c4e (MD5)en
dc.description.provenanceMade available in DSpace on 2020-05-15T12:18:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/341495-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Sistemas da Informaçãopt_BR
dc.contributor.departmentDepartamento de Sistemas de Informaçãopt_BR
dc.contributor.unidadeInstituto de Computaçãopt_BR
dc.subject.keywordGenetic programing (GP)pt_BR
dc.subject.keywordImage classificationpt_BR
dc.subject.keywordRecurrence plot (RP)pt_BR
dc.subject.keywordRemote sensingpt_BR
dc.subject.keywordTime seriespt_BR
dc.identifier.source000457356600033pt_BR
dc.creator.orcid0000-0002-9955-8551pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcid0000-0003-0125-630Xpt_BR
dc.creator.orcid0000-0001-9772-263Xpt_BR
dc.type.formArtigopt_BR
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