Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/453R6T2
Repositorysid.inpe.br/mtc-m21d/2021/07.12.17.24   (restricted access)
Last Update2021:11.05.13.56.12 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/07.12.17.24.12
Metadata Last Update2022:04.03.22.28.50 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyDoblasPrietoFreSiqCarShi:2021:AsNoMe
TitleAssessment of nonlocal means stochastic distances speckle reduction for SAR time series
Year2021
Access Date2024, Apr. 28
Secondary TypePRE CI
Number of Files1
Size3524 KiB
2. Context
Author1 Doblas Prieto, Juan
2 Frery, Alejandro C.
3 Siqueira, Sant'Anna Sidnei João
4 Carneiro, Arian Ferreira
5 Shimabukuro, Yosio Edemir
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JJCQ
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
5 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Victoria University of Wellington
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 juandb@gmail.com
2
3 sidnei.santanna@inpe.br
4 eng.ariancarneiro@gmail.com
5 edemirshima@gmail.com
Conference NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Conference LocationOnline
Date12-16 July
PublisherIEEE
Publisher CityBreussels
Book TitleProceedings
History (UTC)2021-11-05 13:56:12 :: simone -> administrator :: 2021
2022-04-03 22:28:50 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsSpeckle filters
SAR timeseries
Quality
Assessment
AbstractImplementation of complex SAR speckle filtering algorithms is usually limited to experimental settings, that make use of heavy-duty computers or processing clusters. Operational applications of SAR imagery, such as those used to map flashflooded areas, or to flag on-going deforestation, usually are not able to take advantage of these advanced filtering techniques. Here we introduce SDNLM3D, a fast and effective 3D filtering algorithm based on the non-local paradigm, suitable to be applied on cloud environments, such as the Google Earth Engine (GEE). A systematic, real-world based benchmark of more than 700 variations of the SDNLM3D revealed that the optimized version of the SDNLM3D filter outperforms the usual filters used operationally.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of nonlocal...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of nonlocal...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 12/07/2021 14:24 1.0 KiB 
4. Conditions of access and use
Languageen
Target Filedoblas_2021.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
Citing Item Listsid.inpe.br/bibdigital/2013/10.18.22.34 1
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Description control
e-Mail (login)simone
update 


Close