1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | marte2.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP6W34M/3PSMCRE |
Repository | sid.inpe.br/marte2/2017/10.27.15.47 |
Last Update | 2017:10.27.15.47.04 (UTC) administrator |
Metadata Repository | sid.inpe.br/marte2/2017/10.27.15.47.04 |
Metadata Last Update | 2018:06.06.03.11.27 (UTC) administrator |
ISBN | 978-85-17-00088-1 |
Label | 59385 |
Citation Key | LacerdaAlmeGalv:2017:AvAcSe |
Title | Classificação por árvores de decisão: Avaliação de acurácia com e sem a pré-seleção de atributos |
Format | Internet |
Year | 2017 |
Access Date | 2024, May 18 |
Secondary Type | PRE CN |
Number of Files | 1 |
Size | 911 KiB |
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2. Context | |
Author | 1 Lacerda, Camila Souza dos Anjos 2 Almeida, Cláudia Maria de 3 Galvão, Lênio Soares |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JGS3 3 8JMKD3MGP5W/3C9JHLF |
Group | 1 2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR 3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | 1 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 camilasa@ieav.cta.br |
Editor | Gherardi, Douglas Francisco Marcolino Aragão, Luiz Eduardo Oliveira e Cruz de |
e-Mail Address | daniela.seki@inpe.br |
Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR) |
Conference Location | Santos |
Date | 28-31 maio 2017 |
Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) |
Publisher City | São José dos Campos |
Pages | 6407-6414 |
Book Title | Anais |
Organization | Instituto Nacional de Pesquisas Espaciais (INPE) |
History (UTC) | 2017-10-27 15:47:04 :: banon -> administrator :: 2018-06-06 03:11:27 :: administrator -> simone :: 2017 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Abstract | The 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. |
Area | SRE |
Type | Classificação e mineração de dados |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > SBSR 18 > Classificação por árvores... |
Arrangement 2 | Projeto Memória 60... > Livros e livros editados > SBSR 18 > Classificação por árvores... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Classificação por árvores... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMCRE |
zipped data URL | http://urlib.net/zip/8JMKD3MGP6W34M/3PSMCRE |
Language | pt |
Target File | 59385.pdf |
User Group | banon self-uploading-INPE-MCTI-GOV-BR |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Linking | 8JMKD3MGP3W34P/3LESGT2 |
Mirror Repository | urlib.net/www/2011/03.29.20.55 |
Next Higher Units | 8JMKD3MGP6W34M/3PMFNUS 8JMKD3MGPCW/3ER446E |
Citing Item List | sid.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 Collection | dpi.inpe.br/marte2/2013/05.17.15.03.06 |
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6. Notes | |
Empty Fields | archivingpolicy 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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