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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW34M/3E7G6HN
Repositorydpi.inpe.br/marte2/2013/05.28.22.04.41
Last Update2013:05.28.22.04.41 (UTC) administrator
Metadata Repositorydpi.inpe.br/marte2/2013/05.28.22.04.42
Metadata Last Update2024:03.06.16.37.28 (UTC) administrator
ISBN978-85-17-00066-9 (Internet)
978-85-17-00065-2 (DVD)
Label68
Citation KeyFranciscoAlme:2013:MiDaAn
TitleMineração de dados e análise de imagens baseada em objeto aplicadas ao mapeamento de cobertura da terra
FormatDVD, Internet.
Year2013
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size314 KiB
2. Context
Author1 Francisco, Cristiane Nunes
2 Almeida, Cláudia Maria de
Resume Identifier1
2 8JMKD3MGP5W/3C9JGS3
Group1
2 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 crinsf@vm.uff.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 16 (SBSR)
Conference LocationFoz do Iguaçu
Date13-18 abr. 2013
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages2282-2289
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2013-05-28 22:04:42 :: banon -> administrator ::
2024-03-06 16:37:28 :: administrator -> simone :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThis article is committed to evaluate the performance of a semantic network generated by data mining for the classification of land cover using GEographic Object-Based Image Analysis (GEOBIA) in a tropical mountainous area. The study area corresponds to the Nova Friburgo County, with an extension of 933 km², located in the region of the Fluminense Ridge, presenting thus a steep mountainous relief. Based on a visual interpretation of the images, eight land cover classes were defined: rockies, forest, grasslands, sparse grasslands, burn scars, reforestation, shadow, and urban areas. The dataset used for data mining was composed by 130 attributes and by 225 training samples accounting for all land cover classes. The algorithm C4.5, implemented in the software Weka 3.6.4, was employed for the data mining procedure. The following attributes were selected by C4.5: NDVI, fourth principal component, second angular moment, homogeneity, entropy, and slope. The obtained global accuracy was 88%, and the Kappa index reached 0.81. Only the class urban areas presented omission errors greater than 50%, being confused in some cases with sparse grasslands, forest, and burn scars. In view of the obtained value for the Kappa index, we can state that the classification presented an excellent accuracy according to a rating scale specially elaborated for such index.
AreaSRE
TypeClassificação e Mineração de Dados
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/3ERPFQRTRW34M/3E7G6HN
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW34M/3E7G6HN
Languagept
Target Filep0068.pdf
User Groupadministrator
banon
Visibilityshown
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units3ERPFQRTRW34M/3E7G88S
8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.43.49 4
dpi.inpe.br/marte2/2013/05.28.22.25 3
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition issn keywords lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
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