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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/36GB2RP
Repositorydpi.inpe.br/plutao@80/2009/12.01.12.08   (restricted access)
Last Update2010:03.10.18.14.30 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao@80/2009/12.01.12.08.12
Metadata Last Update2018:06.05.00.12.45 (UTC) administrator
Secondary KeyINPE--PRE/
Labellattes: 5421394642444587 3 PaesLoreGher:2009:ShDeBr
Citation KeyPaesLoreGher:2009:ShDeBr
TitleShip Detection in the Brazilian Coast Using TERRASAR-X SAR Images
FormatDVD
Year2009
Access Date2024, Apr. 28
Secondary TypePRE CI
Number of Files1
Size435 KiB
2. Context
Author1 Paes, Rafael Lemos
2 Lorenzzetti, João Antonio
3 Gherardi, Douglas Francisco Marcolino
Group1 DSR-OBT-INPE-MCT-BR
2 DSR-OBT-INPE-MCT-BR
3 DSR-OBT-INPE-MCT-BR
Affiliation1 undefined
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2
3 douglas@dsr.inpe.br
e-Mail Addressdouglas@dsr.inpe.br
Conference Name(IGARSS)
Conference LocationCape Town
Date2009
Pages12-17
History (UTC)2009-12-07 14:15:02 :: lattes -> marciana ::
2010-03-10 18:15:01 :: marciana -> administrator ::
2018-06-05 00:12:45 :: administrator -> marciana :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsDetecção de Alvos
Processamento Digital de Imagens
Radar de Abertura sintética
Ship detection
CFAR
TerraSAR-X
K-distribution
estimation
AbstractExtensive Brazilian coast and a growing up maritime vessel traffic lead to research better ancillary methods to control ships flow. Orbital SAR imagery is an important tool, especially due to its ability to work day and night and clouds coverage doesnt interfere often. At present study, some well-known ship detection concepts are investigated, applying them to TerraSAR-X (TSX) ScanSAR images (16m resolution), in VV and HH polarization. Statistical parameters are estimated and trough Kolmogorov-Smirnov test K-distribution fit to TSX images is checked. Algorithm detection based on Constant False Alarm Rate (CFAR) concept is applied and its performance is verified. Incidence angle, CFARs windows size and Probability of False Alarm (PFA) influence are further analysed. Finaly, we discuss some operational issues about near-real-time image delivery and the delay impact on a surveillance system or on an urgency request.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Ship Detection in...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Target File0400983lorenz.pdf
User Grouplattes
marciana
administrator
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ER446E
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor isbn issn language lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Description control
e-Mail (login)marciana
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