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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/38UFGLE
Repositorysid.inpe.br/mtc-m19/2011/01.12.11.53   (restricted access)
Last Update2011:02.07.15.20.06 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2011/01.12.11.53.58
Metadata Last Update2018:06.05.04.35.17 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1080/14498596.2010.487640
ISSN1449-8596
Citation KeyNovackKux:2010:UrLaCo
TitleUrban land cover and land use classification of an informal settlement area using the open-source knowledge-based system InterIMAGE
Year2010
MonthJune
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size2532 KiB
2. Context
Author1 Novack, T
2 Kux, H. J. H
Group1
2 DSR-OBT-INPE-MCT-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
JournalJournal of Spatial Science
Volume55
Number1
Pages23 -41
History (UTC)2011-02-08 11:53:57 :: marciana -> administrator :: 2010
2018-06-05 04:35:17 :: administrator -> marciana :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractThis study uses the InterIMAGE system and imagery from the Quick Bird sensor for land cover and land use classification at two test sites with informal settlements in the metropolis of Sao Paulo, Brazil InterIMAGE is an open source and free access system for knowledge-based image classification Within InterIMAGE human knowledge is represented as a semantic net and by user-defined rules based on the paradigms of object-oriented image analysis In the land cover classification step, a genetic algorithm was used for determining appropriate segmentation parameters For the description of the land cover classes in terms of features and thresholds, a strategy combining machine learning algorithms and a semantic net was elaborated Based on the land cover classifications, the land use classifications were carried out considering the urban blocks of the test sites as the analysis units Customized features related to the composition and geometrical structures of the land cover objects within these blocks were used for the description of the land use classes The proposed methodology has been shown to be efficient for the automatic mapping of the land cover and land use in complex urban areas The land cover classifications achieved overall accuracies above 70 percent and Kappa indexes above 0.65. Referring to the land use classifications, overall accuracies above 87 percent and Kappa indexes above 0 71 were obtained This study has explored the main functionalities of the InterIMAGE system, presenting as potential for object-based and knowledge-based image classification.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Urban land cover...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target File98-311-1-PB-1.pdf
User Groupadministrator
marciana
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGPCW/3ER446E
DisseminationWEBSCI
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn keywords label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Description control
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