1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21b.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34P/3LKDP6L |
Repositório | sid.inpe.br/mtc-m21b/2016/05.02.15.21 (acesso restrito) |
Última Atualização | 2017:07.21.16.43.35 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21b/2016/05.02.15.21.15 |
Última Atualização dos Metadados | 2018:06.04.02.40.44 (UTC) administrator |
DOI | 10.1080/2150704X.2016.1154218 |
ISSN | 2150-704X |
Chave de Citação | NegriDutrSant:2016:CoSuVe |
Título | Comparing support vector machine contextual approaches for urban area classification |
Ano | 2016 |
Mês | May |
Data de Acesso | 28 mar. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 1781 KiB |
|
2. Contextualização | |
Autor | 1 Negri, Rogério G. 2 Dutra, Luciano Vieira 3 Sant'Anna, Sidnei João Siqueira |
Identificador de Curriculo | 1 2 8JMKD3MGP5W/3C9JHMA 3 8JMKD3MGP5W/3C9JJ8N |
Grupo | 1 2 DPI-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-INPE-MCTI-GOV-BR |
Afiliação | 1 Universidade Estadual Paulista (UNESP) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 rogerio.negri@ict.unesp.br 2 luciano.dutra@inpe.br 3 sidnei.santanna@inpe.br |
Revista | Remote Sensing Letters |
Volume | 7 |
Número | 5 |
Páginas | 485-494 |
Nota Secundária | A2_GEOGRAFIA B2_INTERDISCIPLINAR B3_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS |
Histórico (UTC) | 2016-05-02 15:21:15 :: simone -> administrator :: 2017-01-09 13:59:26 :: administrator -> simone :: 2016 2017-07-21 16:43:35 :: simone -> administrator :: 2016 2018-06-04 02:40:44 :: administrator -> simone :: 2016 |
|
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 |
Resumo | Support vector machine (SVM) has been receiving a great deal of attention for remote sensing data classification. Although the original formulation of this method does not incorporate contextual information, lately different formulations have been proposed to incorporate such information, with the aim of improving the mapping accuracy. In general, these proposals modify the SVM training phase or integrate the SVM classifications in stochastic models. Recently, two new contextual versions of SVM, context adaptive and competitive translative SVM (CaSVM and CtSVM, respectively), were proposed in literature. In this work, two case studies of urban area classification, using IKONOS-II and hyperspectral digital imagery collection experiment (HYDICE) data sets were conducted to compare SVM, SVM integrated with the iterated conditional modes (ICM) stochastic algorithm, SVM smoothed using the mode filter and the recent approaches CaSVM and CtSVM. The results indicated that although it possesses a high computational cost, the CaSVM method was able to produce classification results with similar accuracy (using kappa coefficient) to those obtained using SVM integrated with ICM (SVM+ICM) and the mode filter (SVM+Mode), all of them found statistically superior to the SVM result at 95% confidence level for the IKONOS-II image. For HYDICE image, all results were found statistically insignificant at 95% confidence level. Investigation of what happens at transition regions between classes, however, showed that some methods can present superior performance. To this objective, a new performance measure, called upsilon coefficient, was introduced in this work, which measures the impact that the smoothing effect, typical of contextual methods, can have in distorting the edges between regions. With this new measure was found that CaSVM is the one which has better performance followed with SVM+ICM. |
Área | SRE |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Comparing support vector... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
|
4. Condições de acesso e uso | |
Idioma | en |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
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 | |
Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 |
Lista de Itens Citando | 1 sid.inpe.br/bibdigital/2013/09.09.15.05 1 |
Divulgação | WEBSCI; MGA; COMPENDEX; SCOPUS. |
Acervo Hospedeiro | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
|
6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url |
|
7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
|