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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZW44Lb/cFrdN
Repositorydpi.inpe.br/ambro/1998/04.06.12.23
Last Update1998:06.16.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.56.18
Metadata Last Update2022:06.14.00.16.53 (UTC) administrator
Citation KeyFonsecaCost:1997:AuReSa
TitleAutomatic registration of satellite images
Year1997
Access Date2024, May 03
Number of Files1
Size244 KiB
2. Context
Author1 Fonseca, Leila M. G.
2 Costa, Max H. M.
EditorFigueiredo, Luiz Henrique de
Netto, Marcio Lobo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)
Conference LocationCampos de Jordão, SP, Brazil
DateOct. 1997
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages219-226
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo
History (UTC)2008-07-17 14:17:57 :: administrator -> banon ::
2008-08-26 15:26:28 :: banon -> administrator ::
2009-08-13 20:36:07 :: administrator -> banon ::
2010-08-28 20:04:51 :: banon -> administrator ::
2022-06-14 00:16:53 :: administrator -> :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordswavelet transform
image registration
matching
satellite image
AbstractWavelet transform, image registration, matching, satellite imageWavelet transform, image registration, matching, satellite imageWavelet transform, image registration, matching, satellite imageWavelet transform, image registration, matching, satellite imageWavelet transform, image registration, matching, satellite imageImage registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of multi-sensor/multi-spectral images has become an important issue. A wide range of registration techniques has been developed for many different types of applications and data. Given the diversity of the data, it is unlikely that a single registration scheme will work satisfactorily for all different applications. A possible solution is to integrate multiple registration algorithms into a rule-based artificial intelligence system, so that appropriate methods for any given set of multisensor data can be automatically selected. The objective of this paper is to present an automatic registration algorithm which has been developed at INPE. It uses a multiresolution analysis procedure based upon the wavelet transform. The procedure is completely automatic and relies on the grey level information content of the images and their local wavelet transform modulus maxima. The algorithm was tested on SPOT and TM images from forest, urban and agricultural areas. In all cases we obtained very encouraging results.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/cFrdN
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/cFrdN
Languageen
Target Fileart13.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RL7SS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.23.46 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress format group isbn issn label lineage mark mirrorrepository nextedition numberofvolumes orcid 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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