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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
02/07/2009 |
Data da última atualização: |
07/07/2009 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
ROSÁRIO, M. F.; MARGARIDO, G. R. A.; BOSCHIERO, C.; NONES, K.; MOURA, A. S. A. M. T.; LEDUR, M. C.; COUTINHO, L. L.; GARCIA, A. A. F. |
Afiliação: |
Millor Fernandes do Rosário, ESALQ; Gabriel Rodrigues Alves Margarido, ESALQ; Clarissa Boschiero, FMVZ/UNESP; Kátia Nones, Griffith University; Ana Silvia Alves Meira Tavares Moura, FMVZ/UNESP; Mônica Corrêa Ledur, Embrapa Suínos e Aves; Luiz Lehmann Coutinho, ESALQ; Antonio Augusto Franco Garcia, ESALQ. |
Título: |
Mapa consenso brasileiro do cromossomo 1 oriundo de cruzamentos recíprocos entre linhagens de corte e postura. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: CONFERÊNCIA FACTA DE CIÊNCIA E TECNOLOGIA AVÍCOLAS, 27., 2009, Porto Alegre. Anais [dos] trabalhos de pesquisa José Maria Lamas de Silva. [Campinas]: FACTA, 2009. |
Idioma: |
Português |
Notas: |
Projeto/Plano de Ação: 01.02.10.210-10. Publicado em CD-ROM (CD00156). |
Palavras-Chave: |
MCB; MCI; SGG. |
Thesagro: |
Avicultura; Corte; Genética; Postura. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00962naa a2200289 a 4500 001 1444252 005 2009-07-07 008 2009 bl uuuu u00u1 u #d 100 1 $aROSÁRIO, M. F. 245 $aMapa consenso brasileiro do cromossomo 1 oriundo de cruzamentos recíprocos entre linhagens de corte e postura. 260 $c2009 500 $aProjeto/Plano de Ação: 01.02.10.210-10. Publicado em CD-ROM (CD00156). 650 $aAvicultura 650 $aCorte 650 $aGenética 650 $aPostura 653 $aMCB 653 $aMCI 653 $aSGG 700 1 $aMARGARIDO, G. R. A. 700 1 $aBOSCHIERO, C. 700 1 $aNONES, K. 700 1 $aMOURA, A. S. A. M. T. 700 1 $aLEDUR, M. C. 700 1 $aCOUTINHO, L. L. 700 1 $aGARCIA, A. A. F. 773 $tIn: CONFERÊNCIA FACTA DE CIÊNCIA E TECNOLOGIA AVÍCOLAS, 27., 2009, Porto Alegre. Anais [dos] trabalhos de pesquisa José Maria Lamas de Silva. [Campinas]: FACTA, 2009.
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Embrapa Suínos e Aves (CNPSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
03/10/2011 |
Data da última atualização: |
03/05/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. |
Afiliação: |
DENGSHENG LU, INDIANA UNIVERSITY; GUIYING LI, INDIANA UNIVERSITY; EMILIO MORAN, INDIANA UNIVERSITY; LUCIANO DUTRA, INPE; MATEUS BATISTELLA, CNPM. |
Título: |
A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
GIScience & Remote Sensing, v. 48, n. 3, p. 345-370, 2011. |
DOI: |
10.2747/1548-1603.48.3.345 |
Idioma: |
Português |
Conteúdo: |
Many data fusion methods are available, but it is poorly understood which fusion method is suitable for integrating Landsat Thematic Mapper (TM) and radar data for land cover classification. This research explores the integration of Landsat TM and radar images (i.e., ALOS PALSAR L-band and RADARSAT-2 C-band) for land cover classification in a moist tropical region of the Brazilian Amazon. Different data fusion methods?principal component analysis (PCA), wavelet-merging technique (Wavelet), high-pass filter resolution-merging (HPF), and normalized multiplication (NMM)?were explored. Land cover classification was conducted with maximum likelihood classification based on different scenarios. This research indicates that individual radar data yield much poorer land cover classifications than TM data, and PALSAR L-band data perform relatively better than RADARSAT-2 C-band data. Compared to the TM data, the Wavelet multisensor fusion improved overall classification by 3.3%?5.7%, HPF performed similarly, but PCA and NMM reduced overall classification accuracy by 5.1%?6.1% and 7.6% ?12.7%, respectively. Different polarization options, such as HH and HV, work similarly when used in data fusion. This research underscores the importance of selecting a suitable data fusion method that can preserve spectral fidelity while improving spatial resolution. |
Palavras-Chave: |
Landsat Thematic Mapper; Wavelet multisensor. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/42776/1/Comparison-fusion-methods-GisRS-2011.pdf
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Marc: |
LEADER 01967naa a2200205 a 4500 001 1902113 005 2019-05-03 008 2011 bl uuuu u00u1 u #d 024 7 $a10.2747/1548-1603.48.3.345$2DOI 100 1 $aLU, D. 245 $aA comparison of multisensor integration methods for land cover classification in the Brazilian Amazon. 260 $c2011 520 $aMany data fusion methods are available, but it is poorly understood which fusion method is suitable for integrating Landsat Thematic Mapper (TM) and radar data for land cover classification. This research explores the integration of Landsat TM and radar images (i.e., ALOS PALSAR L-band and RADARSAT-2 C-band) for land cover classification in a moist tropical region of the Brazilian Amazon. Different data fusion methods?principal component analysis (PCA), wavelet-merging technique (Wavelet), high-pass filter resolution-merging (HPF), and normalized multiplication (NMM)?were explored. Land cover classification was conducted with maximum likelihood classification based on different scenarios. This research indicates that individual radar data yield much poorer land cover classifications than TM data, and PALSAR L-band data perform relatively better than RADARSAT-2 C-band data. Compared to the TM data, the Wavelet multisensor fusion improved overall classification by 3.3%?5.7%, HPF performed similarly, but PCA and NMM reduced overall classification accuracy by 5.1%?6.1% and 7.6% ?12.7%, respectively. Different polarization options, such as HH and HV, work similarly when used in data fusion. This research underscores the importance of selecting a suitable data fusion method that can preserve spectral fidelity while improving spatial resolution. 653 $aLandsat Thematic Mapper 653 $aWavelet multisensor 700 1 $aLI, G. 700 1 $aMORAN, E. 700 1 $aDUTRA, L. 700 1 $aBATISTELLA, M. 773 $tGIScience & Remote Sensing$gv. 48, n. 3, p. 345-370, 2011.
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