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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3FCLKQB
Repositorysid.inpe.br/plutao/2013/12.12.18.33
Last Update2018:08.27.13.24.43 (UTC) marcelo.pazos@inpe.br
Metadata Repositorysid.inpe.br/plutao/2013/12.12.18.33.35
Metadata Last Update2018:08.27.13.24.44 (UTC) marcelo.pazos@inpe.br
DOI10.1109/IGARSS.2013.6723191
ISBN978-1-4799-1114-1
Labellattes: 1913003589198061 3 ZanottaZaniShim:2013:AuDeBu
Citation KeyZanottaZaniShim:2013:AuDeBu
TitleAutomatic detection of burned areas in wetlands by remote sensing multitemporal images
FormatDVD
Year2013
Access Date2024, May 18
Secondary TypePRE CI
Number of Files1
Size2538 KiB
2. Context
Author1 Zanotta, Daniel Capella
2 Zani, Hiran
3 Shimabukuro, Yosio Edemir
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JJCQ
Group1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3 DSR-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)
Author e-Mail Address1
2
3 yosio@ltid.inpe.br
e-Mail Addressyosio@ltid.inpe.br
Conference NameIEEE International Geoscience and Remote Sensing Symposium, (IGARSS).
Conference LocationMelbourne, Australia
Date2013
PublisherIEEE
Volume1
Pages1959-1962
Book TitleProceedings
Tertiary TypePaper
History (UTC)2013-12-12 18:33:35 :: lattes -> administrator ::
2016-08-19 14:34:29 :: administrator -> marciana :: 2013
2016-11-03 23:31:42 :: marciana -> marcelo.pazos@inpe.br :: 2013
2016-11-14 15:48:02 :: marcelo.pazos@inpe.br -> administrator :: 2013
2018-06-04 23:39:25 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordswetlands
Bayes methods
covariance matrices
erosion
expectation-maximisation algorithm
floods
geophysical image processing
image classification
statistical analysis
terrain mapping
AbstractIn this paper, a methodology for automatic detection of burned areas is suggested. The classification criterion is performed using Bayesian statistical parameter (mean and covariance matrix) extracted automatically using the Expectation Maximization algorithm and taking into account the spectral similarity between burned and flooded areas. In this work the final process involves the application of morphological operators of erosion and dilation of images in order to insert information from the spatial context, refining the final map. Experiments were conducted to a TM-Landsat scene with areas affected by fires and seasonal flooding. The results show that the accuracy is increased with the consideration of flooding mask and the subsequent application of spatial context, reaching values up to 97% of accuracy when compared with a reference map.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Automatic detection of...
Arrangement 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Automatic detection of...
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/3FCLKQB
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3FCLKQB
Languageen
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
marcelo.pazos@inpe.br
marciana
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination edition editor issn lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarymark type url
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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