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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3MTN5RA
Repositorysid.inpe.br/plutao/2016/12.05.19.50.23   (restricted access)
Last Update2016:12.08.14.59.25 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2016/12.05.19.50.24
Metadata Last Update2018:06.04.23.26.25 (UTC) administrator
DOI10.5194/isprs-archives-XLI-B7-205-2016
ISSN1682-1750
Labellattes: 2456184661855977 3 DiazFeitSancCost:2016:MEESTE
Citation KeyDiazFeitSancCost:2016:MeEsTe
TitleA method to estimate temporal interaction in a conditional random field based approach for crop recognition
Year2016
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size662 KiB
2. Context
Author1 Diaz, P. M. A.
2 Feitosa, Raul Q.
3 Sanches, Ieda Del'Arco
4 Costa, G. A. O. P.
Group1
2
3 DSR-OBT-INPE-MCTI-GOV-BR
Affiliation1 Pontifícia Universidade Católica do Rio de Janeiro (PUC-RJ)
2 Pontifícia Universidade Católica do Rio de Janeiro (PUC-RJ)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Universidade Estadual do Rio de Janeiro (UERJ)
Author e-Mail Address1 pmad9589@ele.puc-rio.br
2 raul@ele.puc-rio.br
3 ieda.sanches@inpe.br
4 gilson.costa@ime.uerj.br
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume41
NumberB7
Pages205-211
History (UTC)2016-12-08 14:59:26 :: lattes -> administrator :: 2016
2018-06-04 23:26:25 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
KeywordsConditional Random Fields
Crop Recognition
Multitemporal Image Analysis
AbstractThis paper presents a method to estimate the temporal interaction in a Conditional Random Field (CRF) based approach for crop recognition from multitemporal remote sensing image sequences. This approach models the phenology of different crop types as a CRF. Interaction potentials are assumed to depend only on the class labels of an image site at two consecutive epochs. In the proposed method, the estimation of temporal interaction parameters is considered as an optimization problem, whose goal is to find the transition matrix that maximizes the CRF performance, upon a set of labelled data. The objective functions underlying the optimization procedure can be formulated in terms of different accuracy metrics, such as overall and average class accuracy per crop or phenological stages. To validate the proposed approach, experiments were carried out upon a dataset consisting of 12 co-registered LANDSAT images of a region in southeast of Brazil. Pattern Search was used as the optimization algorithm. The experimental results demonstrated that the proposed method was able to substantially outperform estimates related to joint or conditional class transition probabilities, which rely on training samples.
AreaSRE
ArrangementA method to...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filediaz_method.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ER446E
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
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