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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/GPaRc
Repositóriosid.inpe.br/iris@1912/2005/07.20.05.28.47   (acesso restrito)
Última Atualização2015:09.15.12.52.01 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/07.20.05.29
Última Atualização dos Metadados2018:06.05.00.52.38 (UTC) administrator
Chave SecundáriaINPE-6511-PRE/2550
ISSN0099-1112
Rótulo5900
Chave de CitaçãoFonsecaManj:1995:ReTeMu
TítuloRegistration techniques for multisensor remotely sensed imagery
Ano1995
Data Secundária19980319
MêsSet.
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2339 KiB
2. Contextualização
Autor1 Fonseca, Leila Maria Garcia
2 Manjunath, B. S
Grupo1 DPI-INPE-MCT-BR
Afiliação1
2 Ctr. for Info. Processing Research, Dept. of Elec. and Comp. Engineering, University of California, Santa Barbara, CA 93106, United States
RevistaPhotogrammetric Engineering and Remote Sensing
Volume62
Número9
Páginas1049-1056
Histórico (UTC)2008-06-09 19:16:12 :: administrator -> jefferson ::
2010-07-07 18:51:43 :: jefferson -> administrator ::
2013-11-23 19:03:52 :: administrator -> marciana :: 1995
2015-09-15 12:52:01 :: marciana -> administrator :: 1995
2016-06-04 23:29:31 :: administrator -> marciana :: 1995
2016-09-12 14:40:15 :: marciana -> administrator :: 1995
2018-06-05 00:52:38 :: administrator -> marciana :: 1995
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-Chave: automated registration
image matching
image processing
image registration
remotely sensed data
satellite sensor
ResumoImage registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of multisensor/multispectral images has become a very important issue. A wide range of registration techniques has been developed for many different types of applications and data. Given the diversity of the data, it is unlikely that a single registration scheme will work satisfactorily for all different applications. A possible solution is to integrate multiple registration algorithms into a rule-based artificial intelligence system so that appropriate methods for any given set of multisensor data can be automatically selected. The first step in the development of such an expert system for remote sensing application would be to obtain a better understanding and characterization of the various existing techniques for image registration. This is the main objective of this paper as we present a comparative study of some recent image registration methods. We emphasize in particular techniques for multisensor image data, and a brief discussion of each of the techniques is given. This comprehensive study will enable the user to select algorithms that work best for his/her particular application domain.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Registration techniques for...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1995_fonseca.pdf
Grupo de Usuáriosadministrator
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
DivulgaçãoWEBSCI
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi 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
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