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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MGQ5S5
Repositorysid.inpe.br/sibgrapi/2016/09.29.14.56
Last Update2016:09.29.14.56.57 (UTC) edemir.matcomp@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.29.14.56.57
Metadata Last Update2022:05.18.22.21.10 (UTC) administrator
Citation KeyAndradeJrAraúSant:2016:MuClRe
TitleMultimodal classification of remote sensing images
FormatOn-line
Year2016
Access Date2024, Apr. 28
Number of Files1
Size983 KiB
2. Context
Author1 Andrade Junior, Edemir Ferreira de
2 Araújo, 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, 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 Addressedemir.matcomp@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 TypeMaster's or Doctoral Work
History (UTC)2016-09-29 14:56:57 :: edemir.matcomp@gmail.com -> administrator ::
2022-05-18 22:21:10 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsmultimodal classification
remote sensing
data fusion
AbstractRemote Sensing Images (RSIs) 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 classification problem 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. Associated with the nature of RSIs, there are several challenges that can be highlighted: (1) they are georeferenced images, i.e., a geographic coordinate is associated with each pixel; (2) the data commonly captures specific frequencies across the electromagnetic spectrum instead of the visible spectrum, which requires the development of specific algorithms to describe patterns; (3) the detail level of each data may vary, resulting in images with different spatial and pixel resolution, but covering the same area; (4) due to the high pixel resolution images, efficient processing algorithms are desirable. Thus, it is very common to have images obtained from different sensors, which could improve the quality of thematic maps generated. However, this requires the creation of techniques to properly encode and combine the different properties of the images. Therefore, this M.Sc. dissertation proposes two techniques for classification of regions in RSIs that manages to encode features extracted from different sources of data, spectral and spatial domains. The major objective is the development of approaches able to exploit the diversity of these different types of features to improve the accuracy in the creation of thematic maps.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MGQ5S5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MGQ5S5
Languageen
Target FileWTD_CameraReady_EdemirFerreira.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
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 6
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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