Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZ4BFjAq/jiH9n
Repositorydpi.inpe.br/vagner/1999/11.29.09.36
Last Update2000:01.03.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.58.10
Metadata Last Update2022:06.14.00.17.08 (UTC) administrator
DOI10.1109/SIBGRA.1999.805743
Citation KeyBustosFlesFrer:1999:MoStCl
TitleA Monte-Carlo study of classical spectral estimation of the backscatter in k-distributed images
Year1999
Access Date2024, May 02
Number of Files3
Size575 KiB
2. Context
Author1 Bustos, Oscar H.
2 Flesia, Ana G.
3 Frery, Alejandro C.
EditorStolfi, Jorge
Tozzi, Clésio Luis
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI)
Conference LocationCampinas, SP, Brazil
Date17-20 Oct. 1999
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages337-346
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society and UNICAMP - University of Campinas
History (UTC)2008-07-17 14:17:59 :: administrator -> banon ::
2008-08-26 15:23:57 :: banon -> administrator ::
2009-08-13 20:36:22 :: administrator -> banon ::
2010-08-28 20:04:55 :: banon -> administrator ::
2022-06-14 00:17:08 :: administrator -> :: 1999
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsbackscatter
images
monte-carlo
k-distributed
AbstractSome estimators for the spectral density of the return in Synthetic Aperture Radar (SAR) images are studied using Monte Carlo experiences. The spectral density is an important quantifier of the texture that, in turn, can be related to biophysical magnitudes and it can be used to establish the kind of target being observed. These images are contaminated by a particular kind of noise, called speckle, that departs from the classical hypothesis of obeying the Gaussian lay and of entering the signal in an additive manner requiring, thus, a careful treatment. The departure from the Gaussian law will be modeled here by means of the K distribution. This law arises from certain (very realistic) hypothesis for the relationship between signal and noise. The empirical observation of structured data is modeled by the use of spatial correlation. There are two approaches to the problem of the presence of speckle noise, onde being the use of techniques for its reduction (usually specially devised filters) and the other the proposal of methodologies that take its presence into account. These approaches will be compared here, to the problem of estimating the spatial correlation structure of the ground truth. The performance of these estimators will be assessed using Monte Carlo experiences, since the problem is analytically intractable.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1999 > A Monte-Carlo study...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A Monte-Carlo study...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiH9n
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZ4BFjAq/jiH9n
Target File034-60622050.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46PDF8P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/04.25.03.44 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campinas, SP, Brazil, from October 17 to 20.
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress format group isbn issn label language 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


Close