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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP8W/3BT6KG2
Repositóriosid.inpe.br/mtc-m18/2012/05.16.13.03
Última Atualização2012:05.16.13.03.07 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m18/2012/05.16.13.03.07
Última Atualização dos Metadados2018:06.04.03.55.38 (UTC) administrator
ISBN978-85-17-00059-1
Chave de CitaçãoAcuñaAndrKim:2012:TeFuSy
TítuloTexture-based fuzzy system for rotation-invariant classification of aerial orthoimage regions
FormatoOn-line.
Ano2012
Data de Acesso23 jun. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho716 KiB
2. Contextualização
Autor1 Acuña, Mauricio Barrera
2 Andrade, Marco Túlio Carvalho de
3 Kim, Hae Yong
Endereço de e-Mail do Autor1 mauriciob@usp.br
2 mtcandrade@usp.br
3 hae@lps.usp.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
Endereço de e-Mailwanderf@dsr.inpe.br
Nome do EventoInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Localização do EventoRio de Janeiro
DataMay 7-9, 2012
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas58-63
Título do LivroProceedings
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2012-05-16 13:03:07 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:43:29 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:43 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:24 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:30 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:56 :: marciana -> administrator :: 2012
2018-06-04 03:55:38 :: administrator -> :: 2012
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveAerial image
Texture classification
Fuzzy Logic
Land Use
Orthoimage
ResumoOrthoimages are aerial images where feature displacements and scale variations have been removed. This type of images is widely used to calculate areas, determine land cover and land use, among others. This paper introduces a rotation-invariant classification model for three common orthoimage regions: city, sea and forest areas, using only texture information (without color information). Our classification model analyzes small sub-images (for example, of 20x20 pixels) to determine their region classes. Our model is based on a Fuzzy Inference System (FIS) constructed over a set of new rotation-invariant texture features. The features are extracted using two rotation-invariant versions of the well-known grayscale co-occurrence matrix (GLCM). Rotation-invariance is a desirable property of orthoimage classification systems, because the aerial images can be taken from different angles. We executed tests on samples from the three regions, including several rotated versions. These experiments show that our system reaches 100% of correct classification rate for our image test database. This correct classification rate is far superior to the rate obtained using the classical GLCM without the rotation-invariant property. Our classifier is robust to images that contain small areas that do not belong to the overall region type. The results demonstrate that our model offers a reliable rotation-invariant orthoimage region classification.
ÁreaSRE
TipoFeature Extraction
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP8W/3BT6KG2
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP8W/3BT6KG2
Idiomaen
Arquivo Alvo020.pdf
Grupo de Usuáriosadministrator
wanderf@dsr.inpe.br
Visibilidadeshown
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Acervo Hospedeirosid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume


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