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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3HG7B4Q
Repositorysid.inpe.br/plutao/2014/12.01.11.48.40
Last Update2015:01.16.11.57.48 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2014/12.01.11.48.41
Metadata Last Update2018:06.04.23.39.34 (UTC) administrator
DOI10.3390/rs6087580
ISSN2072-4292
Labellattes: 8609036872819243 1 KörtingFonsCastNami:2014:ImSaSe
Citation KeyKörtingFonsCastNami:2014:ImSaSe
TitleImprovements in Sample Selection Methods for Image Classification
Year2014
Access Date2024, Apr. 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1715 KiB
2. Context
Author1 Körting, Thales Sehn
2 Fonseca, Leila Maria Garcia
3 Castejon, Emiliano Ferreira
4 Namikawa, Laercio Massaru
Resume Identifier1
2 8JMKD3MGP5W/3C9JHLD
3
4 8JMKD3MGP5W/3C9JHL5
Group1 DPI-OBT-INPE-MCTI-GOV-BR
2 OBT-OBT-INPE-MCTI-GOV-BR
3 DPI-OBT-INPE-MCTI-GOV-BR
4 DPI-OBT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
e-Mail Addressmarcelo.pazos@inpe.br
JournalRemote Sensing
Volume6
Number8
Pages7580-7591
Secondary MarkB3_GEOGRAFIA B3_ENGENHARIAS_I B4_CIÊNCIAS_AMBIENTAIS B4_GEOCIÊNCIAS B5_CIÊNCIAS_AGRÁRIAS_I
History (UTC)2014-12-01 11:48:41 :: lattes -> administrator ::
2018-06-04 23:39:34 :: administrator -> marciana :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsimage classification
sample selection
remote sensing
Graphical User Interface (GUI)
AbstractTraditional image classification algorithms are mainly divided into unsupervised and supervised paradigms. In the first paradigm, algorithms are designed to automatically estimate the classes distributions in the feature space. The second paradigm depends on the knowledge of a domain expert to identify representative examples from the image to be used for estimating the classification model. Recent improvements in human-computer interaction (HCI) enable the construction of more intuitive graphic user interfaces (GUIs) to help users obtain desired results. In remote sensing image classification, GUIs still need advancements. In this work, we describe our efforts to develop an improved GUI for selecting the representative samples needed to estimate the classification model. The idea is to identify changes in the common strategies for sample selection to create a user-driven sample selection, which focuses on different views of each sample, and to help domain experts identify explicit classification rules, which is a well-established technique in geographic object-based image analysis (GEOBIA). We also propose the use of the well-known nearest neighbor algorithm to identify similar samples and accelerate the classification.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Improvements in Sample...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Improvements in Sample...
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/8JMKD3MGP3W/3HG7B4Q
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3HG7B4Q
Languageen
Target Fileremotesensing-06-07580thales.pdf
User Grouplattes
marcelo.pazos@inpe.br
marciana
Reader Groupadministrator
marcelo.pazos@inpe.br
marciana
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 1
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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7. Description control
e-Mail (login)marciana
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