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Tipo da ReferênciaJournal Article
Identificador8JMKD3MGP3W34P/3MHJG2B
Repositóriosid.inpe.br/mtc-m21b/2016/10.04.11.48   (acesso restrito)
Metadadossid.inpe.br/mtc-m21b/2016/10.04.11.48.12
Sitemtc-m21b.sid.inpe.br
DOIMarciana
Rótuloself-archiving-INPE-MCTI-GOV-BR
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoFreitasHaerShim:2008:LiSpMi
Autor1 Freitas, Ramon Morais de
2 Haertel, V. b
3 Shimabukuro, Yosio Edemir
Grupo1 DSR-OBT-INPE-MCT-BR
2
3 DSR-OBT-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federal do Rio Grande do Sul, Centro de Sensoriamento Remoto e Meteorologia, Caixa Postal - 15044, Porto Alegre, RS, Brazil
3 Instituto Nacional de Pesquisas Espaciais (INPE)
TítuloLinear spectral mixture model in moderate spatial resolution image data / Modelo linear de mistura espectral em imagem de moderada resolução espacial
RevistaBoletim de Ciencias Geodesicas
Ano2008
Volume14
Número17
MêsJan.
Palavras-ChaveGEOBASE Subject Index: data set, image analysis, linearity, pixel, radiometric method, remote sensing, spatial resolution, spectral reflectance, CBERS-2.
ResumoThe concept of spectral mixture offers a wide range of applications in the Remote Sensing area. The application of this concept, however, requires the prior estimation of the component's (endmembers) spectral response. This latter requirement can be achieved by different methods, as reported in the literature, such as techniques for the detection of pure pixels, use of spectral libraries, and field radiometric measurements. Among those, the most often used is the pure pixel approach. In this approach, the components' spectral reflectances are estimated by means of pixels covered entirely by a single component. This approach offers the advantage of allowing the extraction of the required spectral reflectance directly from the image data. This approach, however, becomes increasingly unfeasible as the spatial resolution of the image data decreases, due to the larger ground area covered by a single pixel. In this study we propose a methodology to estimate the spectral reflectance for each component class in moderate spatial resolution image data, by applying the linear mixing model (MLME), and higher spatial resolution image data as auxiliary data. It is expected that this methodology will provide a more practical way to implement the spectral mixture approach to moderate resolution image data, allowing in this way the expansion of the information about the components' proportions across larger areas, up-scaling information in regional and global studies. Experiments were carried out using CCD (20 m ground resolution) and IRMSS (80 m ground resolution) and WFI (260 m ground resolution) CBERS-2 image data, as medium and moderate spatial resolution data, respectively. The spectral reflectances for the components in the IRMSS and WFI CBERS-2 spectral bands are estimated by applying the proposed methodology. The reliability of the proposed methodology was assessed by both analyzing scatter plots for CBERS-2 data and by comparing the fraction images produced by image data sets of the sensors analyzed.
Páginas55-71
Idiomaen
Tipo de Trabalhojournal article
AreaSRE
Tamanho2131 KiB
Número de Arquivos3
Última Atualização2018:04.10.19.40.32 sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 Marciana
Última Atualização dos Metadados2018:06.04.03.14.42 sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 administrator {D 2008}
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Espelhosid.inpe.br/mtc-m21b/2013/09.26.14.25.22
e-Mail (login)Marciana
Grupo de UsuáriosMarciana
Visibilidadeshown
Transferível1
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
Tipo do ConteudoExternal Contribution
Estágio do Documentonot transferred
Tipo de Versãofinaldraft
Permissão de Leituradeny from all and allow from 150.163
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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Histórico2018-04-10 19:40:32 :: Marciana -> administrator :: 2008
2018-06-04 03:14:42 :: administrator -> Marciana :: 2008
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress electronicmailaddress format isbn issn lineage mark nextedition nexthigherunit notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder secondarydate secondarykey secondarymark secondarytype session shorttitle sponsor subject targetfile tertiarymark tertiarytype url
Data de Acesso14 ago. 2020

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