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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP8W/3BTFEEE
Repositóriosid.inpe.br/mtc-m18/2012/05.18.13.14
Última Atualização2012:05.18.13.14.44 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.18.13.14.44
Última Atualização dos Metadados2018:06.04.03.55.41 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoSousaSouzZaneCarv:2012:AnRaRe
TítuloAnalysis of RapidEye´s red edge band for image segmentation and classification
FormatoOn-line.
Ano2012
Data de Acesso09 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho783 KiB
2. Contextualização
Autor1 Sousa, Célio Helder Resende
2 Souza, Carolina Gusmão
3 Zanella, Lisiane
4 Carvalho, Luis Marcelo Tavares de
Endereço de e-Mail do Autor1 celiohelder@gmail.com
2 carolinagusmaosouza@gmail.com
3 lisianezanella@gmail.com
4 passarinho@dcf.ufla.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
Endereço de e-Mailwanderf@dsr.inpe.br
Nome do EventoInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Localização do EventoRio de Janeiro
DataMay 7-9, 2012
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas518-523
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-18 13:14:44 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:45:33 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:45 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:25 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:31 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:57 :: marciana -> administrator :: 2012
2018-06-04 03:55:41 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveMultiresolution Segmentation
Land cover
Decision Tree
Accuracy
Attributes
ResumoThe objective of this study was to evaluate if a multi-resolution segmentation algorithm is sensitive to the RapidEyes Red Edge band and its benefits for vegetation mapping using GEOBIA and machine learning. We used a high-resolution multi-spectral RapidEye image taken in June, 2010. This image was segmented with a multiresolution segmentation algorithm (MRIS) using a fine scale parameter (300) and thirteen different weights (from 0 to 100) were assigned to the Red Edge spectral band to evaluate its influence in the segmentation and classification process. Each weight generated a segmented image. Attributes related to spectral information, geometry and texture were calculated for each image segment using the eCognition Developer®. Visual interpretation was performed along with field data to select seven classes (Dense vegetation, Meadow, Mining area, Bare land, Rock outcrop, Urban area and Water). A sample of 800 objects described by its attributes was selected from each segmented image. A decision tree approach based on CART was applied to the samples to select the attributes that provides the best separation among the classes within the scene. An accuracy assessment for the classification using CART was performed to compare the different weights assigned to the Red edge spectral band. Results showed that the Red Edge channel had no significant influence on the segmentation process. The attributes importance rank showed that the index derived from Red Edge channel can be used as input for image classification.
ÁreaSRE
TipoSegmentation
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/8JMKD3MGP8W/3BTFEEE
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BTFEEE
Idiomaen
Arquivo Alvo137.pdf
Grupo de Usuáriosadministrator
wanderf@dsr.inpe.br
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Acervo Hospedeirosid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume


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