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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/34BF7MB
Repositorydpi.inpe.br/plutao@80/2008/12.04.14.15.18
Last Update2010:09.16.12.35.40 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao@80/2008/12.04.14.15.19
Metadata Last Update2018:06.05.00.12.36 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1590/S0102-261X2009000500005
ISSN0102-261X
Labellattes: 8338993621160610 3 GonçalvesSouzParaMira:2008:FuDaMu
Citation KeyGonçalvesSouzParaMira:2009:FuDaMu
TitleFusão de Dados Multisensor para a Identificaçao e o Mapeamento de Ambientes Flúvio-Estuarinos da Amazônia
Year2009
Access Date2024, May 19
Secondary TypePRE PN
Number of Files1
Size951 KiB
2. Context
Author1 Gonçalves, F. D.
2 Souza Filho, Pedro Walfir Martins de
3 Paradella, Waldir Renato
4 Miranda, F. P.
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJBT
Group1
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
Affiliation1 1Universidade Federal do Par´a, Instituto de Geociˆencias, Laborat´orio de An´alise de Imagens do Tr´opico ´Umido (LAIT), Av. Augusto Correa, 1, Campus do Guam´a, Caixa Postal 8608, 66075-110 Bel´em, PA, Brasil – E-mails: fabricio.goncalves@petrobras.com.br
2 walfir@ufpa.br
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 3Petr´oleo Brasileiro S.A., Centro de Pesquisas e Desenvolvimento Leopoldo A. Miguez de Melo (CENPES), Ilha do Fund˜ao, Cidade Universit´aria, 21941-598 Rio de Janeiro, RJ, Brasil – E-mail: fmiranda@petrobras.com.br
Author e-Mail Address1
2
3 waldir@ltid.inpe.br
e-Mail Addresswaldir@ltid.inpe.br
JournalRevista Brasileira de Geofísica
Volume27
Numbersuppl.1
Pages57-67
Secondary MarkA_ENGENHARIAS_III A_GEOCIÊNCIAS A_GEOGRAFIA A_INTERDISCIPLINAR A_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B_ENGENHARIAS_I C_ECOLOGIA_E_MEIO_AMBIENTE
History (UTC)2008-12-04 16:12:47 :: lattes -> simone ::
2008-12-05 15:19:11 :: simone -> marcia ::
2008-12-15 13:37:53 :: marcia -> administrator ::
2008-12-17 15:52:07 :: administrator -> marciana ::
2008-12-18 11:36:40 :: marciana -> administrator ::
2010-01-26 15:38:47 :: administrator -> marciana ::
2010-04-28 19:08:07 :: marciana -> administrator ::
2010-05-12 02:04:05 :: administrator -> marciana ::
2010-09-16 12:35:40 :: marciana -> administrator ::
2018-06-05 00:12:36 :: administrator -> marciana :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsmultisensor remote sensing
image fusion
Amazon coastal zone
AbstractA fusão de imagens multisensor tem sido um procedimento amplamente utilizado em função da natureza complementar dos vários conjuntos de dados. Este artigo compara o desempenho de quatro métodos diferentes para fusão de imagens Landsat-7 ETM+ e RADARSAT-1 W1. A comparação foi baseada nas características espectrais das imagens, utilizando-se de análise estatística e visual dos produtos gerados. Quatro métodos foram usados para a fusão das imagens Landsat-7 ETM+ e RADARSAT-1 W1: i) fusão do SAR (radar de abertura sintética) com a tríade selecionada pelo OIF (Optimum Index Factor ); ii) realce por decorrelação da tríade selecionada pelo OIF, seguida da fusão com SAR; iii) ACP (Análise por Componentes Principais) para as seis bandas ETM+ do espectro refletido (1, 2, 3, 4, 5 e 7) e posterior fusão das três primeiras componentes principais (1CP; 2CP; 3CP) com o SAR; iv) SPC-SAR (Principal Componente Seletivo - SAR). O produto SPC-SAR mostrou melhor desempenho na identificação das feições costeiras e permitiu o realce mais efetivo dos diferentes ambientes. Abstrac: Multisensor data fusion has been widely used in response to complementary nature of many data sets. This paper compares the results of four different data fusion methods used to merge Landsat-7 ETM+ and RADARSAT-1 Wide 1 data. The comparison was based on spectral characteristics of images using statistical and visual analyses of generated products. Four methods were used in the Landsat-7 ETM+ and RADARSAT-1 W1 data fusion: i) The best three bands combination(Landsat-7) based OIF (Optimum Index Factor) selection were merged with RADARSAT-1 data; ii) Decorrelation stretch was applied in the three bands (Landsat-7) selected by OIF and merged with RADARSAT-1 image; iii) PCA (Principal Component Analysis) to six reflective ETM+ bands (1, 2, 3, 4, 5 and 7) and posterior fusion of the three first Principal Components (PC1, PC2, PC3) with SAR; iv) A new approach SPC-SAR (Selective Principal Component - Synthetic Aperture Radar). The SPC-SAR product presented the best performance in the identification of coastal features and allowed the most effective enhancement of the different environments.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Fusão de Dados...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/J8LNKAN8RW/34BF7MB
zipped data URLhttp://urlib.net/zip/J8LNKAN8RW/34BF7MB
Languagept
Target Filea05v27s1.pdf
User Groupadministrator
lattes
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.01.46 1
URL (untrusted data)http://www.rbgf.org.br
DisseminationPORTALCAPES; SCIELO.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesScielo Free
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel documentstage format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork versiontype
7. Description control
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