| 1. Identificação | |
| Tipo de Referência | Artigo em Revista Científica (Journal Article) |
| Site | plutao.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | J8LNKAN8RW/3C63LC5 |
| Repositório | dpi.inpe.br/plutao/2012/06.21.18.33.21 (acesso restrito) |
| Última Atualização | 2012:08.10.13.19.06 (UTC) marciana |
| Repositório de Metadados | dpi.inpe.br/plutao/2012/06.21.18.33.22 |
| Última Atualização dos Metadados | 2018:06.05.00.01.44 (UTC) administrator |
| DOI | 10.1080/01431161.2012.661095 |
| ISSN | 0143-1161 |
| Rótulo | lattes: 1913003589198061 3 QuintanoFernShimPere:2012:SpUn |
| Chave de Citação | QuintanoFernShimPere:2012:SpUn |
| Título | Spectral unmixing  |
| Ano | 2012 |
| Mês | Sep. |
| Data de Acesso | 11 maio 2024 |
| Tipo de Trabalho | journal article |
| Tipo Secundário | PRE PI |
| Número de Arquivos | 1 |
| Tamanho | 287 KiB |
| 2. Contextualização | |
| Autor | 1 Quintano, Carmen 2 Fernández-Manso, Alfonso 3 Shimabukuro, Yosio Edemir 4 Pereira, Gabriel |
| Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JJCQ |
| Grupo | 1 2 3 DSR-OBT-INPE-MCTI-GOV-BR 4 DSR-OBT-INPE-MCTI-GOV-BR |
| Afiliação | 1 †Electronic Technology Department, University of Valladolid, Valladolid 47014, Spain 2 Agrarian Sciences and Engineering Department, University of Leon Ponferrada 24010, Spain 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Endereço de e-Mail do Autor | 1 2 3 yosio@ltid.inpe.br 4 gabriel@dsr.inpe.br |
| Endereço de e-Mail | yosio@ltid.inpe.br |
| Revista | International Journal of Remote Sensing |
| Volume | 33 |
| Número | 17 |
| Páginas | 5307-5340 |
| Nota Secundária | B3_BIOTECNOLOGIA A1_CIÊNCIA_DA_COMPUTAÇÃO A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B1_ECOLOGIA_E_MEIO_AMBIENTE B1_ENGENHARIAS_I B2_ENGENHARIAS_II B1_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_GEOCIÊNCIAS A1_GEOGRAFIA A2_INTERDISCIPLINAR B1_ODONTOLOGIA A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_SAÚDE_COLETIVA |
| Histórico (UTC) | 2012-06-22 00:10:59 :: lattes -> administrator :: 2012 2012-07-12 19:37:40 :: administrator -> secretaria.cpa@dir.inpe.br :: 2012 2012-08-10 13:19:06 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012 2012-09-10 18:38:54 :: administrator -> banon :: 2012 2012-09-26 16:39:51 :: banon -> administrator :: 2012 2016-06-04 01:08:01 :: administrator -> marciana :: 2012 2016-08-19 13:53:51 :: marciana -> administrator :: 2012 2018-06-05 00:01:44 :: administrator -> marciana :: 2012 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Tipo de Versão | publisher |
| Palavras-Chave | Complex model Computing time Constrained least squares method Digital numbers Endmembers Environmental problems Field of views Forest fires Ground surfaces Image pixels Matrix elements Remotely sensed images Satellite images Sensor measurements Specific location Spectral radiance Spectral unmixing Unmixing |
| Resumo | Satellite imagery is formed by finite digital numbers representing a specific location of ground surface in which each matrix element is denominated as a picture element or pixel. The pixels represent the sensor measurements of spectral radiance. The radiance recorded in the satellite images is then an integrated sum of the radiances of all targets within the instantaneous field of view (IFOV) of the sensors. Therefore, the radiation detected is caused by a mixture of several different materials within the image pixels. For this reason, spectral unmixing has been used as a technique for analysing the mixture of components in remotely sensed images for almost 30 years. Different spectral unmixing approaches have been described in the literature. In recent years, many authors have proposed more complex models that permit obtaining a higher accuracy and use less computing time. Although the most widely used method consists of employing a single set of endmembers (typically three or four) on the whole image and using a constrained least squares method to perform the unmixing linearly, every different algorithm has its own merits and no single approach is optimal and applicable to all cases. Additionally, the number of applications using unmixing techniques is increasing. Spectral unmixing techniques are used mainly for providing information to monitor different natural resources (agricultural, forest, geological, etc.) and environmental problems (erosion, deforestation, plagues and disease, forest fires, etc.). This article is a comprehensive exploration of all of the major unmixing approaches and their applications. |
| Área | SRE |
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Spectral unmixing |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| Idioma | en |
| Arquivo Alvo | Quintano_C.pdf |
| Grupo de Usuários | administrator banon lattes secretaria.cpa@dir.inpe.br |
| Grupo de Leitores | administrator marciana |
| Visibilidade | shown |
| Política de Arquivamento | denypublisher denyfinaldraft12 |
| Permissão de Leitura | deny from all and allow from 150.163 |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E |
| Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
| Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notas | |
| Notas | Review |
| Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
| 7. Controle da descrição | |
| e-Mail (login) | marciana |
| atualizar | |