Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/GP3JM
Repositóriosid.inpe.br/iris@1912/2005/07.19.23.55.27   (acesso restrito)
Última Atualização2015:09.09.12.35.46 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/07.19.23.55.40
Última Atualização dos Metadados2018:06.05.00.52.28 (UTC) administrator
Chave SecundáriaINPE-6351-PRE/2427
DOI10.1016/0097-8493(92)90002-D
ISSN0097-8493
Rótulo7702
Chave de CitaçãoMascarenhasErth:1992:ReGaBi
TítuloImage registration by sequential tests of hypotheses: the relationship between gaussian and binomial models
Ano1992
Data Secundária19970728
MêsFall
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho478 KiB
2. Contextualização
Autor1 Mascarenhas, Nelson Delfino D'Avila
2 Erthal, Guaraci Jose
Grupo1 DPI-INPE-MCT-BR
2 DPI-INPE-MCT-BR
RevistaComputer and Graphics
Volume16
Número3
Páginas259-264
Histórico (UTC)2008-06-09 19:15:34 :: administrator -> jefferson ::
2010-07-07 18:50:28 :: jefferson -> administrator ::
2013-11-16 10:12:22 :: administrator -> marciana :: 1992
2015-09-09 12:35:46 :: marciana -> administrator :: 1992
2016-06-04 23:29:22 :: administrator -> marciana :: 1992
2016-09-13 15:41:36 :: marciana -> administrator :: 1992
2018-06-05 00:52:28 :: administrator -> marciana :: 1992
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-ChaveError analysis
Probability
Satellites
Statistical methods
Binomial models
Gaussian models
Image registration
LANDSAT
Translational image registration
Image analysis
ResumoIn previous papers [1,2], a method for treating translational image registration problems by sequential tests of hypotheses was presented. Two types of statistical models were used to describe the accumulated error between the images to be registered, namely, a Gaussian and a binomial model. The proposed method successfully registered a LANDSAT image against noisy versions of itself, different channels of the same image as well as images taken 6 months apart. In this paper, relationships between both models are established. First, by assuming that both images to be registered are Gaussian and one image is essentially a noisy version of the other, and that both images are thresholded at the mean value, a derivation is made of the probability curve of the binary error being equal to one, at the registration point, versus the signal-to-noise ratio. Second, by assuming that the cross correlation between the signals in both images is auto-regressive of order one and separable, the set of probability curves of the binary error being equal to one versus the distance from registration point is derived. Third, under the same assumptions of the previous case, the set of curves relating the error variance versus the displacement is also obtained. The curves, for the second and third cases, are described for different values of the correlation coefficients in both directions and of the signal-to-noise ratio. Finally, a comparison between the theoretical curves and the experimental results is performed.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Image registration by...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1992_mascarenhas2.pdf
Grupo de Usuáriosadministrator
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosaffiliation alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marciana
atualizar 


Fechar