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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vRp8H
Repositorysid.inpe.br/banon/2002/10.23.12.42
Last Update2002:09.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.23.12.42.10
Metadata Last Update2022:06.14.00.11.46 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167127
Citation KeyAguenaMasc:2002:MuImDa
TitleMultispectral image data fusion using projections onto convex sets techniques
Year2002
Access Date2024, May 02
Number of Files1
Size255 KiB
2. Context
Author1 Aguena, Marcia Luciana Silva
2 Mascarenhas, Nelson Delfino d'Ávila
EditorGonçalves, Luiz Marcos Garcia
Musse, Soraia Raupp
Comba, João Luiz Dihl
Giraldi, Gilson
Dreux, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
Conference LocationFortaleza, CE, Brazil
Date10-10 Oct. 2002
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:46 :: administrator -> banon ::
2008-08-26 15:21:21 :: banon -> administrator ::
2009-08-13 20:36:36 :: administrator -> banon ::
2010-08-28 20:00:06 :: banon -> administrator ::
2022-06-14 00:11:46 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractThe problem of image data fusion includes several techniques for data integration from different sensors about a given object. The process can be divided in two stages: (a) pixel interpolation on each observed image to equalize their resolutions; and (b) synthesis of the fused image using the interpolated images. This work proposes the use of projection onto convex sets (POCS) techniques in both stages of the image data fusion process: on the interpolation stage, by creating intermediate pixels more adapted to the local characteristics of the observed images; and on the synthesis stage, by generating a final multispectral image that incorporates the best spatial and spectral characteristics of the initial images. As an example, the algorithm is applied to Spot satellite images.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Multispectral image data...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Multispectral image data...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/vRp8H
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vRp8H
Languageen
Target File53.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 10
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Fortaleza, CE, Brazil, from October 7 to 10.
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