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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M9374B
Repositorysid.inpe.br/sibgrapi/2016/08.12.19.00
Last Update2016:08.12.19.00.57 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.12.19.00.57
Metadata Last Update2022:05.18.22.21.07 (UTC) administrator
Citation KeySantanaMachSant:2016:CoDeSu
TitleContextual Description of Superpixels for Aerial Urban Scenes Classification
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size3956 KiB
2. Context
Author1 Santana, Tiago Moreira Hübner Cançado
2 Machado, Alexei Manso Côrrea
3 dos Santos, Jefersson Alex
Affiliation1 Computer Science Department, UFMG
2 Electrical Engineering Department, PUC Minas
3 Computer Science Department, UFMG
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresstiagohubner10@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeWork in Progress
History (UTC)2016-08-12 19:00:57 :: tiagohubner10@gmail.com -> administrator ::
2022-05-18 22:21:07 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordscontextual descriptor
land cover
thematic maps
remote sensing
AbstractRemote Sensing Images are one of the main sources of information about the earth surface. They are widely used to generate thematic maps that show the land cover. This process is traditionally done by using supervised classifiers which learn patterns extracted from few image pixels annotated by the user and then assign a label to the remaining pixels. However, due to the increasing spatial resolution of the images, pixelwise classification is not suitable anymore, even when combined with context. Moreover, traditional techniques used to aggregate context are unsuitable in the scenario of thematic maps generation since they depend on a previous labeling of image pixels/segments and, thus, are computationally inefficient and require a large amount of training data. Therefore, the objective of this work is to develop a description for superpixels which is able to encode their visual cues and local context without labeling them in order to generate more accurate land cover thematic maps.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Contextual Description of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M9374B
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M9374B
Languageen
Target FilePaper11_Camera_Ready.pdf
User Grouptiagohubner10@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 10
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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