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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/3BSR5PP
Repositóriosid.inpe.br/mtc-m18/2012/05.14.14.32
Última Atualização2012:05.14.14.32.21 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.14.14.32.21
Última Atualização dos Metadados2018:06.04.03.55.34 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoKhoiriahDanoFard:2012:LaUsCl
TítuloLand use classification accuracies comparison based on ASTER/VNIR data and ASTER/VNIR-PALSAR image fusion
FormatoOn-line.
Ano2012
Data de Acesso22 jun. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho315 KiB
2. Contextualização
Autor1 Khoiriah, Isti Fadatul
2 Danoedoro, Projo
3 Farda, Nur Muhammad
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
Páginas84-88
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-14 16:22:30 :: wanderf@dsr.inpe.br -> administrator :: 2012
2012-05-30 13:41:25 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:41 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:23 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:28 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:55 :: marciana -> administrator :: 2012
2018-06-04 03:55:34 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveRemote Sensing Imagery
Image Fusion
Multi sensor
Multi resolution
Discrete Wavelet Transform
ResumoNowadays, the abundance of remote sensing data requires synergistic development of methods for information extraction, in order to maximize the potential uses for various mapping purposes. Image fusion techniques are an alternative to the conventional uses of individual remote sensing data, because these methods can create new data that combine advantages from the input images in one hand, and minimize their weaknesses. This study tried to compare the quality of fused image, which was built using ASTER VNIR (optical) and ALOS PALSAR (radar) images, and the original multispectral ASTER VNIR bands. The quality was assessed visually and then was evaluated spectrally with respect to their ability to generate land-use classes based on multispectral classification. A Discrete Wavelet Transform (DWT) was used to combine the optical and radar images, since it can maintain the spectral quality of the combined image. It was found that for a cloud free area like Yogyakarta, Indonesia, there was no significant difference in classification accuracy between the fused and the original (optical) images.
ÁreaSRE
TipoAccuracy Assessment
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/3BSR5PP
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BSR5PP
Idiomaen
Arquivo Alvo026.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 electronicmailaddress 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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