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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/sbsr@80/2006/11.16.01.34
Last Update2007:03.01.17.24.14 (UTC) administrator
Metadata Repositorydpi.inpe.br/sbsr@80/2006/11.16.01.34.16
Metadata Last Update2018:06.06.02.37.49 (UTC) administrator
ISBN978-85-17-00031-7
Citation KeyBatistaHaer:2007:ClHiOr
TitleClassificação hierárquica orientada a objeto em imagens de alta resolução espacial empregando atributos espaciais e espectrais
FormatCD-ROM, On-line.
Year2007
Access Date2024, Dec. 26
Secondary TypePRE CN
Number of Files1
Size951 KiB
2. Context
Author1 Batista, Marlos Henrique
2 Haertel, Vitor Francisco de Araújo
Affiliation1 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM).
2 Universidade Federal do Rio Grande do Sul (UFRGS). Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia (CEPSRM).
Author e-Mail Address1 marlos.henrique@ufrgs.br
2 vitor.haertel@ufrgs.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Fonseca, Leila Maria Garcia
e-Mail Addressmarloshenrique@gmail.com
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 13 (SBSR).
Conference LocationFlorianópolis
Date21-26 abr. 2007
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages489-497
Book TitleAnais
Tertiary TypeArtigo
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2006-11-16 01:34:16 :: marloshenrique@gmail.com -> sbsr ::
2007-01-12 12:29:24 :: sbsr -> administrator ::
2009-06-30 14:32:39 :: administrator -> erich@sid.inpe.br ::
2009-08-04 18:22:50 :: erich@sid.inpe.br -> administrator ::
2009-08-05 01:45:49 :: administrator -> erich@sid.inpe.br ::
2010-05-14 02:43:54 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:06:47 :: marciana -> administrator :: 2007
2018-06-06 02:37:49 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsalta resolução espacial
segmentação multiresolução
classificação orientada a objetos
classificador hierárquico
AbstractThe traditional pixel based classification procedures frequently yield poor results when applied to high spatial resolution image data. The small ground pixel size frequently captures an unnecessary high level of detail resulting in large class-variances which increase the confusion among classes. In this context, it is normally more convenient to replace individual pixels by image segments, also known as objects, as individuals to be labeled according with the existing classes. One of the main advantages of employing smaller pixels is the ability of capturing spatial information such as shape and texture which may be conveniently added to the spectral data to increase the accuracy in the resulting thematic map. In this study, it is investigated the combined use of spectral and spatial attributes in a classifier. As the data dimensionality may increase substantially due to the larger amount of data used, a feature extraction process are used in the classification procedure, rather than the original spectral and spatial data themselves. A binary decision tree classifier is used in this study to label every image segment.
AreaSRE
TypeAnálise e Aplicação de Dados de Alta Resolução Espacial
doc Directory Contentaccess
source Directory Content
ArtigoCompleto - Marlos Henrique Batista - UFRGS.pdf 15/11/2006 23:34 841.2 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.16.01.34
zipped data URLhttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2006/11.16.01.34
Languagept
Target File489-497.pdf
User Groupmarloshenrique@gmail.com
erich@sid.inpe.br
administrator
Reader Groupadministrator
marloshenrique@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/07.17.20.31
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
SponsorCAPES
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group identifier issn label lineage nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle tertiarymark url versiontype volume


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