INDIVIDUAL TREE IDENTIFICATION IN URBAN AREAS FROM AERIAL IMAGES USING MASK R-CNN

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversity of Western São Paulo (Unoeste)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorUematsu, Rafael T.-
Autor(es): dc.creatorSilva, Francisco A.-
Autor(es): dc.creatorAlmeida, Leandro L.-
Autor(es): dc.creatorPereira, Danillo R.-
Autor(es): dc.creatorArtero, Almir O.-
Autor(es): dc.creatorPiteri, Marco A.-
Data de aceite: dc.date.accessioned2025-08-21T22:44:32Z-
Data de disponibilização: dc.date.available2025-08-21T22:44:32Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-06-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.4090/juee.2022.v16n1.045054-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/247130-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/247130-
Descrição: dc.descriptionTrees in urban centers can bring many benefits to population health. Each city must be responsible for the planning and management of urban forestation, but it is difficult to check if all places are properly wooded. With technological advances, there is the possibility of developing tools to help these tasks in a computational way. In this paper, we present a low-cost tree identification method that uses a Mask R-CNN deep neural network. The experiments performed presented a correct rate of 91.39% in the identification of the trees from aerial photographs obtained by drone.-
Descrição: dc.descriptionDepartment of Computer Science University of Western São Paulo (Unoeste), São Paulo-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science Faculty of Science and Technology São Paulo State University (Unesp), São Paulo-
Descrição: dc.descriptionDepartment of Mathematics and Computer Science Faculty of Science and Technology São Paulo State University (Unesp), São Paulo-
Formato: dc.format45-54-
Idioma: dc.languageen-
Relação: dc.relationJournal of Urban and Environmental Engineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAerial images-
Palavras-chave: dc.subjectMask R-CNN-
Palavras-chave: dc.subjectTree identification-
Palavras-chave: dc.subjectTree segmentation-
Título: dc.titleINDIVIDUAL TREE IDENTIFICATION IN URBAN AREAS FROM AERIAL IMAGES USING MASK R-CNN-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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