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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
03/10/2011 |
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Data da última atualização: |
03/05/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LU, D.; LI, G.; MORAN, E.; DUTRA, L.; BATISTELLA, M. |
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Afiliação: |
DENGSHENG LU, INDIANA UNIVERSITY; GUIYING LI, INDIANA UNIVERSITY; EMILIO MORAN, INDIANA UNIVERSITY; LUCIANO DUTRA, INPE; MATEUS BATISTELLA, CNPM. |
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Título: |
A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
GIScience & Remote Sensing, v. 48, n. 3, p. 345-370, 2011. |
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DOI: |
10.2747/1548-1603.48.3.345 |
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Idioma: |
Português |
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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. |
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Palavras-Chave: |
Landsat Thematic Mapper; Wavelet multisensor. |
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Categoria do assunto: |
-- |
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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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Registro original: |
Embrapa Territorial (CNPM) |
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Biblioteca |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
15/07/2008 |
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Data da última atualização: |
15/07/2008 |
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Tipo da produção científica: |
Artigo de Divulgação na Mídia |
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Autoria: |
RESENDE, A. V. de; SHIRATSUCHI, L. S. |
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Afiliação: |
Álvaro Vilela de Resende, CPAC; Luciano Shozo Shiratsuchi, CPAC. |
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Título: |
A agricultura de precisão no manejo da fertilidade do solo. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: GAMA, L. C. (Org.). Artigos publicados na mídia: coletânea 2007. [Planaltina, DF: s.n.], 2007. |
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Idioma: |
Português |
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Notas: |
Publicado em A Lavoura em jun. 2007. |
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Thesagro: |
Agricultura de Precisão; Solo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00521naa a2200157 a 4500
001 1570740
005 2008-07-15
008 2007 bl uuuu u00u1 u #d
100 1 $aRESENDE, A. V. de
245 $aA agricultura de precisão no manejo da fertilidade do solo.
260 $c2007
500 $aPublicado em A Lavoura em jun. 2007.
650 $aAgricultura de Precisão
650 $aSolo
700 1 $aSHIRATSUCHI, L. S.
773 $tIn: GAMA, L. C. (Org.). Artigos publicados na mídia: coletânea 2007. [Planaltina, DF: s.n.], 2007.
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Embrapa Cerrados (CPAC) |
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