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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/3TP8PU8
Repositorysid.inpe.br/mtc-m21c/2019/08.01.15.19   (restricted access)
Last Update2020:01.10.11.07.19 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2019/08.01.15.19.32
Metadata Last Update2021:03.06.19.30.01 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyReisPanDutSanEsc:2019:EfDiMe
TitleEffects of different methods of radiometric calibration on the use of training data for supervised classification of Landsat5/TM images from other dates
Year2019
Access Date2024, Mar. 28
Secondary TypePRE CI
Number of Files1
Size1813 KiB
2. Context
Author1 Reis, Mariane Souza
2 Pantaleão, Eliana
3 Dutra, Luciano Vieira
4 Sant'Anna, Sidnei João Siqueira
5 Escada, Maria Isabel Sobral
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHMA
4 8JMKD3MGP5W/3C9JJ8N
5 8JMKD3MGP5W/3C9JHRG
Group1 CST-CST-SESPG-INPE-MCTIC-GOV-BR
2
3 CGOBT-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Universidade Federa de Uberlândia (UFU)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 mariane.reis@inpe.br
2
3 luciano.dutra@inpe.br
4 sidnei.santanna@inpe.br
5 isabel.escada@inpe.br
Conference NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Conference LocationYokohama, Japan
Date28 July - 02 Aug.
PublisherIEEE
Pages1566-1569
Book TitleProceedings
History (UTC)2019-08-01 15:20:00 :: simone -> administrator :: 2019
2020-01-06 11:42:17 :: administrator -> simone :: 2019
2020-01-10 11:07:20 :: simone -> administrator :: 2019
2021-03-06 19:30:01 :: administrator -> simone :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsGeneralization of training samples
signature extension
multi-temporal classification
Landsat data
Maximum Likelihood
AbstractIn studies that involves supervised classification of several temporal images, the use of specific samples extracted from each image may require field work or image interpretation and is often expensive. The cost could be reduced with the use of reference data from a different time. However, there may appear differences in the spectral behavior of land cover classes across time due to imaging issues, which can prevent the proper reuse of this type of training data. This paper assesses the influence of image calibration on the classification of Landsat5/Thematic Mapper (TM) images using Maximum Likelihood classifier and the use of land cover training samples collected in images obtained at different times. Results show that, although the calibration method may affect the classification results, it had a small impact on classification global accuracy.
AreaCST
Arrangement 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Effects of different...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Effects of different...
Arrangement 3urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CST > Effects of different...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 01/08/2019 12:19 1.0 KiB 
4. Conditions of access and use
Languageen
Target Filereis_effects.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3EU2H28
8JMKD3MGPCW/449U4PL
Citing Item Listsid.inpe.br/bibdigital/2021/03.06.05.18 3
sid.inpe.br/bibdigital/2013/09.09.15.05 2
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Description control
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