| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/3D53DL5 |
| Repository | dpi.inpe.br/plutao/2012/11.28.15.23 |
| Last Update | 2013:01.10.13.28.35 (UTC) administrator |
| Metadata Repository | dpi.inpe.br/plutao/2012/11.28.15.23.01 |
| Metadata Last Update | 2018:06.05.00.02.02 (UTC) administrator |
| Secondary Key | INPE--PRE/ |
| DOI | 10.1590/S0044-59672012000200004 |
| ISSN | 0044-5967 |
| Label | lattes: 3233696672067020 5 GarciaSanMurKuxKux:2012:AnPoIm |
| Citation Key | GarciaSantMuraKux:2012:AnPoIm |
| Title | Análise do potencial de imagem TerraSAR-X para mapeamento temático no sudoeste da Amazônia brasileira / Analysis of the potential use from TerraSAR-X images for thematic mapping in SW Brazilian Amazon region  |
| Year | 2012 |
| Access Date | 2024, May 18 |
| Type of Work | journal article |
| Secondary Type | PRE PN |
| Number of Files | 1 |
| Size | 2841 KiB |
| 2. Context | |
| Author | 1 Garcia, César Edwin 2 Santos, João Roberto dos 3 Mura, José Claudio 4 Kux, Hermann Johann Heinrich |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHF4 3 8JMKD3MGP5W/3C9JHGR 4 8JMKD3MGP5W/3C9JHCD |
| Group | 1 DSR-OBT-INPE-MCTI-GOV-BR 2 DSR-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-INPE-MCTI-GOV-BR 4 DSR-OBT-INPE-MCTI-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 cgarcia@dsr.inpe.br 2 jroberto@dsr.inpe.br 3 mura@dpi.inpe.br 4 hermann@ltid.inpe.br |
| e-Mail Address | hermann@ltid.inpe.br |
| Journal | Acta Amazonica |
| Volume | 42 |
| Number | 2 |
| Pages | 205-214 |
| Secondary Mark | B4_BIOTECNOLOGIA B3_CIÊNCIA_DE_ALIMENTOS B2_CIÊNCIAS_AGRÁRIAS_I B4_CIÊNCIAS_BIOLÓGICAS_I C_CIÊNCIAS_BIOLÓGICAS_II B5_CIÊNCIAS_BIOLÓGICAS_III B4_DIREITO B3_ECOLOGIA_E_MEIO_AMBIENTE B2_EDUCAÇÃO B3_ENGENHARIAS_I B2_ENGENHARIAS_II B2_ENGENHARIAS_III B2_GEOCIÊNCIAS B1_GEOGRAFIA A2_INTERDISCIPLINAR B3_MEDICINA_II B3_MEDICINA_VETERINÁRIA B3_QUÍMICA B4_SAÚDE_COLETIVA B2_ZOOTECNIA_/_RECURSOS_PESQUEIROS |
| History (UTC) | 2012-11-28 23:06:26 :: lattes -> administrator :: 2012 2012-12-03 12:51:53 :: administrator -> marciana :: 2012 2013-01-10 13:28:35 :: marciana -> administrator :: 2012 2018-06-05 00:02:02 :: administrator -> marciana :: 2012 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Version Type | publisher |
| Keywords | mapeamento florestal radar classificação polarimétrica Amazônia forest mapping radar polarimetric classification Amazon |
| Abstract | O presente trabalho tem como objetivo analisar o potencial de imagens SAR polarimétricas do sensor TerraSAR-X, no modo StripMap, para mapear o uso e cobertura da terra na região sudoeste da Amazônia brasileira. No procedimento metodológico imagens de amplitude nas polarizações AHH e AVV, A<HH.VV*> derivada da matriz de covariância, bem como da entropia AEntropia derivada da decomposição de alvos por auto-valores fizeram parte, de forma individual ou combinada, do conjunto de dados investigados. Na classificação das imagens foram empregados dois classificadores: um baseado nas funções estatísticas de máxima verossimilhança (MAXVER); e outro, o método contextual (Context). Os resultados temáticos dessas classificações foram avaliados através da matriz de confusão e pelo índice Kappa. De forma sintetizada pode-se afirmar que as componentes A<HH.VV*> e AEntropia, têm significativa contribuição no procedimento classificatório, sobretudo pelo método Context, cujo desempenho alcançou com 78% de exatidão global e índice Kappa de 0,70. ABSTRACT: The objective of this work was to analyze the potential use of SAR polarimetric images from the TerraSAR-X sensor system, at StripMap mode, to map land use and land cover in SW Brazilian Amazon. Amplitude images at polarizations AHH, AVV, A<HH.VV*>, derived from the co-variance matrix, as well as the entropy AEntropia, derived from the decomposition of targets by eigenvalues, are parts of the datasets investigated individually or in combined form. Two classifiers were used: the first is based on statistical functions of maximum likelihood (MAXVER), and the second is the contextual method (Context). The thematic results from these classifications were evaluated by a confusion matrix and by the Kappa index. Summarizing we can state that the components A<HH.VV*> and AEntropia, gave a significant contribution to the image classification procedure, considering specially the Context method, whose performance reached 78% of Global Accuracy and a Kappa index of 0.70. |
| Area | SRE |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Análise do potencial... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Análise do potencial... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/J8LNKAN8RW/3D53DL5 |
| zipped data URL | http://urlib.net/zip/J8LNKAN8RW/3D53DL5 |
| Language | pt |
| Target File | Análise do potencial de imagem TerraSAR-X para.pdf |
| User Group | administrator lattes marciana |
| Reader Group | administrator marciana |
| Visibility | shown |
| Copyright License | urlib.net/www/2012/11.12.15.10 |
| Archiving Policy | allowpublisher allowfinaldraft |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.51.50 1 |
| Dissemination | WEBSCI; PORTALCAPES; SCIELO. |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Notes | Setores de Atividade: Informação e comunicação. Informações Adicionais: Abstract The objective of this work was to analyze the potential use of SAR polarimetric images from the TerraSAR-X sensor system, at StripMap mode, to map land use and land cover in SW Brazilian Amazon. Amplitude images at polarizations AHH, AVV A<HH.VV*>, derived from the co-variance matrix, as well as the entropy derived from the decomposition of targets by eigenvalues, are parts of the datasets investigated individually or in combined form. Two classifiers were used: the first is based on statistical functions of maximum likelihood (MAXVER), and the second is the contextual method (Context). The thematic results from these classifications were evaluated by a confusion matrix and by the Kappa index. Summarizing we can state that the components A<HH.VV*> and A<entropia>, gave a significant contribution to the image classification procedure, considering specially the Context method, whose performance reached 78% of Global Accuracy and a Kappa index of 0.70.. |
| Empty Fields | alternatejournal archivist callnumber copyholder creatorhistory descriptionlevel format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Description control | |
| e-Mail (login) | marciana |
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