Data fusion approach for eucalyptus trees identification

Detalhes bibliográficos
Autor(a) principal: Oliveira, Diogo
Data de Publicação: 2021
Outros Autores: Martins, Leonardo, Mora, André, Damásio, Carlos, Caetano, Mário, Fonseca, José, Ribeiro, Rita A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/113985
Resumo: UIDB/00066/2020 DSAIPA/AI/0100/2018
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spelling Data fusion approach for eucalyptus trees identificationEarth and Planetary Sciences(all)SDG 15 - Life on LandUIDB/00066/2020 DSAIPA/AI/0100/2018Remote sensing is based on the extraction of data, acquired by satellites or aircrafts, through multispectral images, that allow their remote analysis and classification. Analysing those images with data fusion techniques is a promising approach for identification and classification of forest types. Fusion techniques can aggregate various sources of heterogeneous information to generate value-added maps, facilitating forest-type classification. This work applies a data fusion algorithm, denoted FIF (Fuzzy Information Fusion), which combines computational intelligence techniques with multicriteria concepts and techniques, to automatically distinguish Eucalyptus trees from satellite images. The algorithm customization was performed with a Portuguese area planted with Eucalyptus. After customizing and validating the approach with several representative scenarios to assess its suitability for automatic classification of Eucalyptus, we tested on a large tile obtaining a sensitivity of 69.61%, with a specificity of 99.43%, and an overall accuracy of 98.19%. This work demonstrates the potential of our approach to automatically classify specific forest types from satellite images, since this is a novel approach dedicated to the identification of eucalyptus trees.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasDI - Departamento de InformáticaCTS - Centro de Tecnologia e SistemasInformation Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNOliveira, DiogoMartins, LeonardoMora, AndréDamásio, CarlosCaetano, MárioFonseca, JoséRibeiro, Rita A.2021-03-16T23:26:53Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article23application/pdfhttp://hdl.handle.net/10362/113985eng0143-1161PURE: 28668786https://doi.org/10.1080/01431161.2021.1883198info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:56:45Zoai:run.unl.pt:10362/113985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:42:25.148759Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Data fusion approach for eucalyptus trees identification
title Data fusion approach for eucalyptus trees identification
spellingShingle Data fusion approach for eucalyptus trees identification
Oliveira, Diogo
Earth and Planetary Sciences(all)
SDG 15 - Life on Land
title_short Data fusion approach for eucalyptus trees identification
title_full Data fusion approach for eucalyptus trees identification
title_fullStr Data fusion approach for eucalyptus trees identification
title_full_unstemmed Data fusion approach for eucalyptus trees identification
title_sort Data fusion approach for eucalyptus trees identification
author Oliveira, Diogo
author_facet Oliveira, Diogo
Martins, Leonardo
Mora, André
Damásio, Carlos
Caetano, Mário
Fonseca, José
Ribeiro, Rita A.
author_role author
author2 Martins, Leonardo
Mora, André
Damásio, Carlos
Caetano, Mário
Fonseca, José
Ribeiro, Rita A.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
DI - Departamento de Informática
CTS - Centro de Tecnologia e Sistemas
Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Oliveira, Diogo
Martins, Leonardo
Mora, André
Damásio, Carlos
Caetano, Mário
Fonseca, José
Ribeiro, Rita A.
dc.subject.por.fl_str_mv Earth and Planetary Sciences(all)
SDG 15 - Life on Land
topic Earth and Planetary Sciences(all)
SDG 15 - Life on Land
description UIDB/00066/2020 DSAIPA/AI/0100/2018
publishDate 2021
dc.date.none.fl_str_mv 2021-03-16T23:26:53Z
2021
2021-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/113985
url http://hdl.handle.net/10362/113985
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0143-1161
PURE: 28668786
https://doi.org/10.1080/01431161.2021.1883198
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 23
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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