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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PSMCRE
Repositorysid.inpe.br/marte2/2017/10.27.15.47
Last Update2017:10.27.15.47.04 (UTC) administrator
Metadata Repositorysid.inpe.br/marte2/2017/10.27.15.47.04
Metadata Last Update2018:06.06.03.11.27 (UTC) administrator
ISBN978-85-17-00088-1
Label59385
Citation KeyLacerdaAlmeGalv:2017:AvAcSe
TitleClassificação por árvores de decisão: Avaliação de acurácia com e sem a pré-seleção de atributos
FormatInternet
Year2017
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size911 KiB
2. Context
Author1 Lacerda, Camila Souza dos Anjos
2 Almeida, Cláudia Maria de
3 Galvão, Lênio Soares
Resume Identifier1
2 8JMKD3MGP5W/3C9JGS3
3 8JMKD3MGP5W/3C9JHLF
Group1
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 camilasa@ieav.cta.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages6407-6414
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2017-10-27 15:47:04 :: banon -> administrator ::
2018-06-06 03:11:27 :: administrator -> simone :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
AbstractThe use of decision trees for image classification has grown rapidly in recent years, since the reported developments are promising. The current work uses the C4.5 and Random Forest methods for selecting statistical and customized attributes derived from a WorldView-2 (WV-2) image, meant to effectively separate the classes of interest. The attributes comprising the bands extracted from transforms such as Principal Component Analysis and Minimum Noise Fraction in addition to vegetation indices and attributes based on band ratios were used in the stage of feature selection. Two datasets have been employed in the herein described experiments: one consisting of a WV-2 scene with 42 image-derived attributes, and the second one containing the same WV-2 scene and 28 pre-selected meaningful attributes. Comparisons between the two datasets showed that for both methods (C4.5 and RF) the use of statistical attributes plus those derived from image transforms and arithmetical operations increases the agreement indices accuracy. Both classifiers work as data miners, identifying among a large set of attributes those able to discriminate the concerned classes. The results of this article comply with the peer-reviewed literature, for they demonstrate that the classification integrating a greater number of input attributes (without feature selection) attain a significantly superior accuracy. In sum, decision tree classifiers have the capacity to deal with weak explanatory variables, and hence, it is not possible to assess their importance based on individual factors alone.
AreaSRE
TypeClassificação e mineração de dados
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 18 > Classificação por árvores...
Arrangement 2Projeto Memória 60... > Livros e livros editados > SBSR 18 > Classificação por árvores...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Classificação por árvores...
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/8JMKD3MGP6W34M/3PSMCRE
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PSMCRE
Languagept
Target File59385.pdf
User Groupbanon
self-uploading-INPE-MCTI-GOV-BR
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Linking8JMKD3MGP3W34P/3LESGT2
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
8JMKD3MGPCW/3ER446E
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.43.49 6
sid.inpe.br/marte2/2017/09.25.14.55 2
sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 tertiarytype url versiontype volume
7. Description control
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