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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/3BT282B
Repositóriosid.inpe.br/mtc-m18/2012/05.15.12.51
Última Atualização2012:05.15.12.51.57 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.15.12.51.57
Última Atualização dos Metadados2018:06.04.03.55.36 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoWangHeLiu:2012:NeClMe
TítuloA new classification method for high spatial resolution remote sensing image based on mapping mechanism
FormatoOn-line.
Ano2012
Data de Acesso17 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho754 KiB
2. Contextualização
Autor1 Wang, Guizhou
2 He, Guojin
3 Liu, Jianbo
Endereço de e-Mail do Autor1 gzwang@ceode.ac.cn
2 gjhe@ceode.ac.cn
3 jbliu@ceode.ac.cn
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
Páginas186-190
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-15 12:51:57 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:42:18 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:42 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:23 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:29 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:55 :: marciana -> administrator :: 2012
2018-06-04 03:55:36 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveHigh Spatial Resolution
Image Segmentation
Pixel-based Classification
Object-based Classification
Mapping Mechanism
ResumoImage classification is a challenging problem of high spatial resolution remote sensing image. On the basis of analyzing and summarizing the research actuality of remote sensing image classification technology, this paper proposed a new object-based image classification method based on mapping mechanism for high spatial resolution remote sensing image. The classification framework used a special mapping strategy to fit in the special data format and content of high spatial resolution remote sensing data. First, the multi spectral image was segmented by multi scale watershed segmentation and at the same time classified by a traditional pixel-based classification method (maximum likelihood); then the pixel-based multi spectral classification result was mapped to the segmentation result by area of dominant principle to get the object based multi spectral classification result. In order to make good use of the information in the pan image, it was also segmented, and the final classification result was gotten by mapping the object-based multi spectral classification result to pan image segmentation result. Experiment results show that the mapping mechanism based classification algorithm for high spatial resolution remote sensing data can make use of the information both in pan and multispectral bands, integrate the pixel-based and object-based classification method, and finally improve the classification accuracy.
ÁreaSRE
TipoClassification
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/3BT282B
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BT282B
Idiomaen
Arquivo Alvo055.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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