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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemarte2.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP6W34M/3JM4BBB
Repositóriosid.inpe.br/marte2/2015/06.15.15.22.39
Última Atualização2015:06.15.15.22.39 (UTC) banon
Repositório de Metadadossid.inpe.br/marte2/2015/06.15.15.22.40
Última Atualização dos Metadados2018:06.06.03.21.19 (UTC) administrator
ISBN978-85-17-0076-8
Rótulo617
Chave de CitaçãoMarujoMore:2015:ApQuMu
TítuloApplication of quadtree and multiresolution segmentation on rapideye images with and without histogram equalization for coffee crop classification in Machado municipality (MG) - Brazil
FormatoInternet
Ano2015
Data de Acesso14 maio 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho800 KiB
2. Contextualização
Autor1 Marujo, Rennan de Freitas Bezerra
2 Moreira, Mauricio Alves
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHT4
Grupo1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 rennan@dsr.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
Endereço de e-Mailwanderf@dsr.inpe.br
Nome do EventoSimpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
Localização do EventoJoão Pessoa
Data25-29 abr. 2015
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas3090-3096
Título do LivroAnais
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2015-06-15 15:22:40 :: banon -> administrator ::
2018-06-06 03:21:19 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
ResumoThis paper evaluates the influence of segmentation by multiresolution and quadtree algorithm on automatic supervised classification of high spatial resolution satellite images with and without histogram equalization for crop coffee classification. The study area was the municipality of Machado (MG) and in this work were used rapideye images because of its high spatial and radiometric resolutions. The crop coffee plants because of its intrinsic characteristics is easily can be confused with savanna vegetation in automatic classification process because of their similar spectral response. The use of segmentation techniques allows the use of shape and texture features, yet the spectral ones. The study area had two images with two different angle looks at the same time, which implied in different responses for each sensor because of the non lambertianity of the objects. For each class training samples were collected and the thematic result image was got through the nearest neighbor classifier applied to its segments. The effects of the histogram equalization were measured by comparing the classification results with and without histogram equalization to the reference image classified manually by trained professional, getting the global and kappa indices. Also were done a comparison between the results of multiresolution segmentation and quadtree segmentation. Multiresolution have produced more adequate segments to the contours of the coffee plants objects, with homogeneous contents, while quadtree generated too many segments, not capturing border areas. Histogram equalization showed itself an important pre-processing step on image classification process, influencing in the accuracy.
ÁreaSRE
TipoClassificação e mineração de dados
Arranjo 1urlib.net > BDMCI > Fonds > SBSR > SBSR 17 > Application of quadtree...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 17 > Application of quadtree...
Arranjo 3Projeto Memória 60... > Livros e livros editados > SBSR 17 > Application of quadtree...
Arranjo 4urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Application of quadtree...
Arranjo 5urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Application of quadtree...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BBB
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP6W34M/3JM4BBB
Idiomaen
Arquivo Alvop0617.pdf
Grupo de Usuáriosbanon
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGP6W34M/3JJLLP2
8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/marte2/2015/05.31.21.54 6
sid.inpe.br/mtc-m21/2012/07.13.14.56.26 2
Acervo Hospedeirodpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Controle da descrição
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