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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/47S4JTL
Repositóriosid.inpe.br/mtc-m21d/2022/10.24.15.57   (acesso restrito)
Última Atualização2022:10.24.15.57.25 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2022/10.24.15.57.25
Última Atualização dos Metadados2023:01.23.17.06.34 (UTC) administrator
DOI10.1016/j.rsase.2022.100844
ISSN2352-9385
Chave de CitaçãoOldoniSanPicPruAda:2022:GeAcAs
TítuloGeometric accuracy assessment and a framework for automatic sub-pixel registration of WFI images from CBERS-4, CBERS-4A, and Amazonia-1 satellites over Brazil
Ano2022
MêsNov.
Data de Acesso02 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho25762 KiB
2. Contextualização
Autor1 Oldoni, Lucas Volochen
2 Sanches, Ieda Del'Arco
3 Picoli, Michelle Cristina Araújo
4 Prudente, Victor Hugo Rohden
5 Adami, Marcos
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3
4 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
5 COEAM-CGGO-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Université Catholique de Louvain
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 lucas.oldoni@inpe.br
2 ieda.sanches@inpe.br
3 mipicoli@gmail.com
4 victor.rohden@yahoo.com
5 marcos.adami@inpe.br
RevistaRemote Sensing Applications: Society and Environment
Volume28
Páginase100844
Histórico (UTC)2022-10-24 15:57:54 :: simone -> administrator :: 2022
2023-01-23 17:06:34 :: administrator -> simone :: 2022
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveBrazilian earth observation satellites
Multi-sensor approach
Satellite images time series
Wide-field imager
ResumoBrazil faces the challenge of conciliating food production with natural vegetation preservation, and the government has been investing in Earth Observation satellites to assist in this task. In this context, images from the Wide-Field Imager (WFI) sensor onboard the China-Brazil Earth Resources Satellite (CBERS-4), CBERS-4A, and Amazonia-1 have been used in remote sensing applications in Brazil. However, the geometric accuracy of the WFI data has not yet been documented in the literature, as it was done for other satellites/sensors such as TERRA/MODIS, Landsat-8/OLI, and Sentinel-2/MSI. This work presents the first study to assess the geometric accuracy of WFI images along different spectral channels, from multi-temporal images, and taking Sentinel-2/MSI images as a reference. Surface reflectance WFI images, Level-4 (orthorectified) with spatial resolution of 55 m (CBERS-4A) and 64 m (CBERS-4 and Amazonia-1) were analysed. Thousands of control points (CPs) were used to quantify the geometric accuracy of more than 300 WFI images and to construct multiple mapping functions to correct the displacements found. The NIR band was taken as a reference in the inter-channel (band-to-band) registration evaluation. In this case, all tiles had an RMSE average of fewer than 0.44 pixels. For the multi-temporal case, the CBERS-4A/WFI had the highest average RMSE (0.87 ± 0.34 pixels). Considering the Sentinel-2/MSI as a reference, there were observed shifts up to 1.45 pixels for CBERS-4/WFI and Amazonia-1/WFI and 2.5 pixels for CBERS-4A/WFI. Given the displacements found, image registration is needed for further time series analysis of WFI images for several applications that requiring precise sub-pixel registration (i.e., land use cover change). As a result, we propose a framework for the automatic registration of WFI images to properly foster the use of WFI images. This framework substantially reduced the misregistrations, decreasing the RMSE average to less than 0.29 pixels for the WFI images from the three satellites. The use of the 2nd degree polynomial as a mapping function proved to be appropriate for registering the WFI data.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Geometric accuracy assessment...
Arranjo 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Geometric accuracy assessment...
Arranjo 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGGO > Geometric accuracy assessment...
Conteúdo da Pasta docacessar
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1-s2.0-S2352938522001525-main.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
8JMKD3MGPCW/46KUBT5
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 3
sid.inpe.br/bibdigital/2022/04.03.22.35 3
sid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoPORTALCAPES; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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