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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M5KJ22
Repositorysid.inpe.br/sibgrapi/2016/07.22.22.12
Last Update2016:07.22.22.12.19 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/07.22.22.12.19
Metadata Last Update2022:07.30.18.33.26 (UTC) administrator
DOI10.1109/SIBGRAPI.2016.064
Citation KeyAndradeJrAraśSant:2016:BoApRe
TitleA Boosting-based Approach for Remote Sensing Multimodal Image Classification
FormatOn-line
Year2016
Access Date2024, Apr. 27
Number of Files1
Size8372 KiB
2. Context
Author1 Andrade Junior, Edemir Ferreira de
2 Araśjo, Arnaldo de Albuquerque
3 Santos, Jefersson Alex dos
Affiliation1 Universidade Federal de Minas Gerais
2 Universidade Federal de Minas Gerais
3 Universidade Federal de Minas Gerais
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, Joćo Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, Joćo Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressedemir.matcomp@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSćo José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherIEEE Computer Society“s Conference Publishing Services
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2016-07-22 22:12:19 :: edemir.matcomp@gmail.com -> administrator ::
2016-10-05 14:49:18 :: administrator -> edemir.matcomp@gmail.com :: 2016
2016-10-13 17:42:34 :: edemir.matcomp@gmail.com -> administrator :: 2016
2022-07-30 18:33:26 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsMultimodal Classification
Remote Sensing
Data Fusion
AbstractRemote Sensing Images (RSI) have been used as a major source of data, particularly with respect to the creation of thematic maps. This process is usually modeled as a supervised learning task where the system needs to learn the patterns of interest provided by the user and assign a class to the rest of the image regions. Thus, it is common to have images obtained from different sensors, which could improve the quality of thematic maps. However, this requires the creation of techniques to properly encode and combine the different properties of the images. So, this paper proposes a boosting-based technique for classification of regions in RSI that manages to encode features extracted from different sources of data, spectral and spatial domains. The approach is evaluated in an urban and a coffee crop recognition scenarios, achieving statistically better results in comparison with the baselines in urban classification and better results at some baselines for the coffee crop recognition.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2016 > A Boosting-based Approach...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A Boosting-based Approach...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M5KJ22
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M5KJ22
Languageen
Target File106_Camera_Ready.pdf
User Groupedemir.matcomp@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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 volume


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