1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21b.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34P/3NNBSMH |
Repository | sid.inpe.br/mtc-m21b/2017/04.17.19.37 (restricted access) |
Last Update | 2017:04.17.19.37.04 (UTC) administrator |
Metadata Repository | sid.inpe.br/mtc-m21b/2017/04.17.19.37.04 |
Metadata Last Update | 2018:06.04.02.27.23 (UTC) administrator |
DOI | 10.1109/JSTARS.2016.2628325 |
ISSN | 1939-1404 2151-1535 |
Citation Key | GenovezFreSanBenLor:2017:OiSlDe |
Title | Oil Slicks Detection From Polarimetric data using stochastic distances between complex wishart distributions |
Year | 2017 |
Month | Feb. |
Access Date | 2024, May 13 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 6245 KiB |
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2. Context | |
Author | 1 Genovez, Patrícia Carneiro 2 Freitas, Corina da Costa 3 Sant'Anna, Sidnei João Siqueira 4 Bentz, Cristina Maria 5 Lorenzzetti, João Antônio |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JJ8N 4 5 8JMKD3MGP5W/3C9JHEF |
Group | 1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 4 5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Centro de Pesquisa da Petrobrás (CENPES) 5 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 genovez.oilspill@gmail.com 2 corina@dpi.inpe.br 3 sidnei.santanna@inpe.br 4 cris@petrobras.com.br 5 joao.lorenzzetti@inpe.br |
Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Volume | 10 |
Number | 2 |
Pages | 463-477 |
History (UTC) | 2017-04-17 19:37:04 :: simone -> administrator :: 2017-04-17 19:37:04 :: administrator -> simone :: 2017 2017-04-17 19:37:58 :: simone -> administrator :: 2017 2017-06-30 23:50:07 :: administrator -> simone :: 2017 2017-12-14 17:01:16 :: simone -> administrator :: 2017 2018-06-04 02:27:23 :: administrator -> simone :: 2017 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Information theory oil slicks detection polarimetry region-based classification stochastic distances synthetic aperture radar (SAR) uncertainty maps |
Abstract | Polarimetric synthetic aperture radars (PolSAR) have been used to detect oil slicks at the sea surface. Different techniques to extract information from polarimetric data, using an adequate statistical distribution are currently available. A region-based classifier for PolSAR data - named PolClass - uses a supervised approach to compare stochastic distances between scaled complex Wishart distributions and hypothesis tests to associate confidence levels into the classification results. In this paper, the integrated use of these distances together with the uncertainty maps is applied for the first time to detect oil slicks. A quad-pol Radarsat-2 data, acquired during one open-water controlled exercise, was used to perform this test. The PolClass achieved similar overall accuracies for four stochastic distances, reaching 96.54% of global accuracy, the best result obtained by the Hellinger distance. A comparison between the full-and dual-pol matrices indicated that the results obtained with the VV-HH-HV, HH-HV, and VV-HV polarizations are statistically equivalent, but different from that obtained using the HH-VV. Therefore, the exclusion of the HV channel affected the detection of only mineral oils. The classifier demonstrated the potential to detect the three types of oils released, being more effective in detecting biogenic oils rather than mineral oils. The uncertainty levels increase from the center to the border of the mineral oil slicks, indicating the presence of transition regions, possibly related to different weathering mechanisms. The proposed approach will contribute to the understanding of where different physical and chemical processes may be acting, associating confidence levels to the classification results. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Oil Slicks Detection... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Oil Slicks Detection... |
Arrangement 3 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Oil Slicks Detection... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | genovez_oil.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher allowfinaldraft |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.15.00.20 2 sid.inpe.br/bibdigital/2013/09.09.15.05 1 sid.inpe.br/bibdigital/2013/10.18.22.34 1 |
Dissemination | WEBSCI; IEEEXplore. |
Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
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