| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | plutao.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 8JMKD3MGP3W/3MTMTJ3 |
| Repositório | sid.inpe.br/plutao/2016/12.05.18.46.22 |
| Última Atualização | 2016:12.13.15.19.30 (UTC) lattes |
| Repositório de Metadados | sid.inpe.br/plutao/2016/12.05.18.46.23 |
| Última Atualização dos Metadados | 2018:06.04.23.26.11 (UTC) administrator |
| DOI | 10.13140/RG.2.2.27778.27844 |
| ISBN | 9789036542012 |
| Rótulo | lattes: 5186139934330175 1 SoaresKörtFons:2016:FiExUs |
| Chave de Citação | SoaresKörtFons:2016:FiExUs |
| Título | First experiments using the image foresting transform (IFT) algorithm for segmentation of remote sensing imagery  |
| Formato | DVD |
| Ano | 2016 |
| Data de Acesso | 25 abr. 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 369 KiB |
| 2. Contextualização | |
| Autor | 1 Soares, Anderson Reis 2 Körting, Thales Sehn 3 Fonseca, Leila Maria Garcia |
| Identificador de Curriculo | 1 2 3 8JMKD3MGP5W/3C9JHLD |
| Grupo | 1 SER-SRE-SPG-INPE-MCTI-GOV-BR 2 DPI-OBT-INPE-MCTI-GOV-BR 3 OBT-OBT-INPE-MCTI-GOV-BR |
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Endereço de e-Mail do Autor | 1 anderson.soares@inpe.br 2 thales.korting@inpe.br 3 leila.fonseca@inpe.br |
| Nome do Evento | GEOBIA 2016 : Solutions and Synergies |
| Localização do Evento | Enschede |
| Data | 14-16 sept. |
| Editora (Publisher) | University of Twente Faculty of Geo-Information and Earth Observation (ITC) |
| Título do Livro | Proceedings |
| Tipo Terciário | Paper |
| Histórico (UTC) | 2016-12-05 19:37:41 :: lattes -> administrator :: 2016 2016-12-09 07:36:10 :: administrator -> lattes :: 2016 2016-12-13 15:19:30 :: lattes -> administrator :: 2016 2018-06-04 23:26:11 :: 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 |
| Palavras-Chave | Image Segmentation Image Foresting Transform Multiresolution Segmentation Segmentation Comparison |
| Resumo | Image segmentation is a traditional method in Remote Sensing and a fundamental problem in image processing applications. It has been widely used, especially with the emergence of the Geographic Object-Based Image Analysis (GEOBIA). The results of segmentation must create uniform areas, which must allow a simpler interpretation by the users and simpler representation for classification algorithms. Several algorithms were proposed through the years, using different approaches. One that is widely used in Remote Sensing applications is the Multiresolution algorithm, that is based on the region growing method. Other, which has great potential and is applied in other research areas, is available on the Image Foresting Transform (IFT) framework, which has several image operators developed primarily for medical images. The Watershed from Grayscale Marker operator uses an edge image to perform the segmentation, however, we propose an extension of the edge detection algorithm, by summing normalized gradients of each band. This work aims to evaluate and compare these two segmentation algorithms, by comparing their results through supervised segmentation from reference regions, that were defined manually by an expert user. Quality measures were evaluated by four metrics, that represent the positional adjustment based the center of gravity, intensities, size, and the amount of overlap between the segment created by the algorithms and the reference segment. We selected 21 objects of a WorldView-2 multispectral image that were used to compute the metrics. Both methods reached similar results, by comparing the aforementioned 4 metrics applied to the 21 reference regions, IFT achieved better results for majority of regions. The IFT generated segments with similar shape when compared with the references, and the multiresolution generated results with similar sizes and positional adjustments. It may be explained by the fact that IFT uses an edge image to perform the segmentation. Both algorithms obtained similar agreement for intensity. |
| Área | SRE |
| Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > First experiments using... |
| Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > First experiments using... |
| Arranjo 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > First experiments using... |
| 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 | |
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W/3MTMTJ3 |
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W/3MTMTJ3 |
| Idioma | en |
| Arquivo Alvo | soares_first.pdf |
| Grupo de Leitores | administrator lattes |
| Visibilidade | shown |
| Permissão de Leitura | allow from all |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Repositório Espelho | urlib.net/www/2011/03.29.20.55 |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3EU2H28 8JMKD3MGPCW/3F3NU5S |
| URL (dados não confiáveis) | http://proceedings.utwente.nl/441/ |
| Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notas | |
| Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor issn lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type usergroup volume |
| 7. Controle da descrição | |
| e-Mail (login) | simone |
| atualizar | |
