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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JS3Q42
Repositorysid.inpe.br/sibgrapi/2015/07.16.06.36
Last Update2015:07.16.06.36.14 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.16.06.36.14
Metadata Last Update2022:05.18.22.20.59 (UTC) administrator
Citation KeyAndradeJrArauSant:2015:AuCrMa
TitleAutomatic Creation of Maps by Using Multiple Data Sensors
FormatOn-line
Year2015
Access Date2024, May 02
Number of Files1
Size571 KiB
2. Context
Author1 Andrade Junior, Edemir Ferreira de
2 Araujo, Arnaldo de Albuquerque
3 Santos, Jefersson Alex dos
Affiliation1 Universidade Federal de Minas Gerais (UFMG)
2 Universidade Federal de Minas Gerais (UFMG)
3 Universidade Federal de Minas Gerais (UFMG)
EditorRios, Ricardo Araujo
Paiva, Afonso
e-Mail Addressedemir.matcomp@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2015-07-16 06:36:14 :: edemir.matcomp@gmail.com -> administrator ::
2022-05-18 22:20:59 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsData fusion
remote sensing
ensemble of classifiers
mapping
AbstractAn usual way to acquire information about monitored objects or areas in earth surface is by using remote sensing images. These images can be obtained by different types of sensors (e.g active and passive) and according to the sensor, distinct properties can be observed from the specified data. Typically, these sensor are specialized to encode one or few properties from the object (e.g. spectral and spatial properties), which makes necessary the utilization of diverse and different sensors to obtain many complementary information as possible. Given the amount of information collected, is essential use a capable technique to combine accordingly the different characteristics obtained. The objective of this work, which is in progress, is the development of a framework able to exploit the diversity of these different types of features, extracted from different sensors, to achieve high degrees of accuracy in the creation of thematic maps for the classification task.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Automatic Creation of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JS3Q42
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JS3Q42
Languageen
Target Fileferreira_wip_sibgrapi2014_cameraready.pdf
User Groupadministrator
edemir.matcomp@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 9
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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