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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3S29C4L
Repositóriosid.inpe.br/mtc-m21c/2018/10.10.12.30   (acesso restrito)
Última Atualização2018:10.10.12.30.24 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/10.10.12.30.24
Última Atualização dos Metadados2021:03.06.19.29.57 (UTC) administrator
DOI10.1109/JSTARS.2018.2853647
ISSN1939-1404
2151-1535
Chave de CitaçãoPereiraFreiSantReis:2018:EvOpRa
TítuloEvaluation of Optical and Radar Images Integration Methods for LULC Classification in Amazon Region
Ano2018
Mêssept.
Data de Acesso06 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2684 KiB
2. Contextualização
Autor1 Pereira, Luciana O.
2 Freitas, Corina C.
3 Sant'Anna, Sidnei João Siqueira
4 Reis, Mariane Souza
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JJ8N
ORCID1 0000-0001-7641-2288
Grupo1
2
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
4 CST-CST-SESPG-INPE-MCTIC-GOV-BR
Afiliação1 University of Exeter
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 lucianapgeo@gmail.com
2 corina@dpi.inpe.br
3 sidnei@dpi.inpe.br
4 reis@dpi.inpe.br
RevistaIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume11
Número9
Páginas3062-3074
Histórico (UTC)2018-10-10 12:30:24 :: simone -> administrator ::
2018-10-10 12:30:24 :: administrator -> simone :: 2018
2018-10-10 12:31:00 :: simone -> administrator :: 2018
2021-03-06 19:29:57 :: administrator -> simone :: 2018
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—Brazilian Amazon
data integration
land-use and land-cover (LULC)
multipolarized-synthetic aperture radar (SAR)
ResumoThe main objective of this study is to evaluate different methods to integrate (fusion and combination) Synthetic Aperture Radar (SAR) Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band SAR (PALSAR-1) (Fine Beam Dual mode-FDB) and LANDSAT images in order to identify those which lead to higher accuracy of land-use and land-cover (LULC) mapping in an agricultural frontier region in Amazon. One method used to integrate the multipolarized information in SAR images before the fusion process was also evaluated. In this method, the first principal component (PC1 ) of SAR data was used. Color compositions of fused data that presented better LULC classification were visually analyzed. Considering the proposed objective, the following fusion methods must be highlighted: Ehlers, Wavelet a´ trous, Intensity, Hue and Saturation (IHS), and selective principal component analysis (SPC). These latter three methods presented good results when processed using PC1 from ALOS/PALSAR-1 FBD backscatter filtered image or three SAR extracted and selected features. These results corroborate with the applicability of the proposed method for SAR data information integration. Distinct methods better discriminate different LULC classes. In general, densely forested classes were better characterized by the Ehlers_TM6 fusion method, in which at least the polarization HV was used. Intermediate and initial regeneration classes were better discriminated using SPC-fused data with PC1 of ALOS/PALSAR1 FBD data. Bare soil and pasture classes were better discriminated in optical features and the PC1 of ALOS/PALSAR-1 FBD data fused by the IHS method. Soybean with approximately 40 days from seeding was better discriminated in image classification obtained from ALOS/PALSAR-1 FBD image.
ÁreaSRE
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 10/10/2018 09:30 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvopereira_evaluation.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.15.00.20 8
sid.inpe.br/bibdigital/2013/09.09.15.05 2
DivulgaçãoWEBSCI; IEEEXplore.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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