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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br (namespace prefix: upn:LCETB2)
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier3ERPFQRTRW/3A647KP
Repositorydpi.inpe.br/marte/2011/07.25.17.50
Last Update2011:07.25.17.50.01 (UTC) luana@dsr.inpe.br
Metadata Repositorydpi.inpe.br/marte/2011/07.25.17.50.01
Metadata Last Update2018:06.06.02.24.43 (UTC) administrator
ISBN978-85-17-00056-0 (Internet)
978-85-17-00057-7 (DVD)
Citation KeyBarbosaSilvZimbCamp:2011:CoMéCl
TitleComparação de métodos de classificação de imagens, visando o gerenciamento de áreas citrícolas
FormatDVD, Internet.
Year2011
Access Date2025, Dec. 14
Secondary TypePRE CN
Number of Files1
Size216 KiB
2. Context
Author1 Barbosa, Ana Paula
2 Silva, Alessandra Fagioli da
3 Zimback, Célia Regina Lopes
4 Campos, Sérgio
Affiliation1 Universidade Estadual Paulista - UNESP/FCA
2 Universidade Estadual Paulista - UNESP/FCA
3 Universidade Estadual Paulista - UNESP/FCA
4 Universidade Estadual Paulista - UNESP/FCA
Author e-Mail Address1 anap_barbosa@yahoo.com.br
2 alefagioli@hotmail.com
3 czimback@gmail.com
4 seca@fca.unesp.br
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
e-Mail Addressluana@dsr.inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR).
Conference LocationCuritiba
Date30 abr. - 5 maio 2011
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages7286-7292
Book TitleAnais
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2011-08-15 15:18:03 :: luana@dsr.inpe.br -> administrator :: 2011
2018-06-06 02:24:43 :: administrator -> tereza@sid.inpe.br :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsFuzzy
LANDSAT satellite
Images classifiers
Fuzzy
satélite LANDSAT
classificadores de imagens
AbstractThis study aimed to compare the efficiency of methods of classification of orbital images in areas cultivated with citrus, using GIS techniques to the planning and management located in the areas of citrus production. The study area is located in Bariri City, São Paulo State. It noted the evaluation results of the classification accuracy were satisfactory, which the CLUSTER classification had excellent quality (0.9276) and very good (0.6485), the MAXVER algorithm had excellent ratings, with kappa 0.8338 and 0.8818, and the Fuzzy classification submitted a rating between very good (0.7260) and good (0.5235) for 2003 and 2007, respectively. The methods used in the discrimination of areas cultivated with citrus showed different efficiencies in the images classification. In general, the classifications of 2003 images showed the best performance than 2007 images scores, as they were less influenced by the reflectance of other classes.
AreaSRE
TypeProcessamento de Imagens
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URIupn:LCETB2:3ERPFQRTRW/3A647KP
data URLhttp://urlib.net/ibi/3ERPFQRTRW/3A647KP
zipped data URLhttp://urlib.net/zip/3ERPFQRTRW/3A647KP
Languagept
Target Filep0691.pdf
User Groupluana@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Empty Fieldsarchivingpolicy 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 session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume
7. Description control
e-Mail (login)tereza@sid.inpe.br
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