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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vRRVR
Repositorysid.inpe.br/banon/2002/10.24.09.40
Last Update2002:09.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.24.09.40.40
Metadata Last Update2022:06.14.00.11.49 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167128
Citation KeyVellosoSouz:2002:NoSmRe
TitleNon-parametric smoothing for relative radiometric correction on remotely sensed data
Year2002
Access Date2024, Apr. 27
Number of Files1
Size1118 KiB
2. Context
Author1 Velloso, Maria Luiza F.
2 Souza, Flávio J. de
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 15:21:22 :: banon -> administrator ::
2009-08-13 20:36:39 :: administrator -> banon ::
2010-08-28 20:00:06 :: banon -> administrator ::
2022-06-14 00:11:49 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractDigital change detection methods have been broadly divided into either pre-classification spectral change detection or post-classification change detection. Since all spectral change detection methods are based on pixel-wise plus operations or scene-wise plus pixel-wise operations, accuracy in image registration and scene-to-scene radiometric normalization is more critical for these methods than for other methods. A wide range of algorithms has been developed to adjust linear models. This paper proposes an automated radiometric normalization process that automatically extracts the training dataset and uses a non-parametric smoother to adjust a non-linear mapping to minimize the effects of the influences of radiometric differences on image interpretation and classification.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Non-parametric smoothing for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Non-parametric smoothing for...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/vRRVR
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vRRVR
Languageen
Target File64.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 11
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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