| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | marte.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 3ERPFQRTRW/39UL54P |
| Repository | dpi.inpe.br/marte/2011/06.28.14.41 |
| Last Update | 2011:06.28.14.41.58 (UTC) administrator |
| Metadata Repository | dpi.inpe.br/marte/2011/06.28.14.41.58 |
| Metadata Last Update | 2018:06.06.02.23.38 (UTC) administrator |
| ISBN | 978-85-17-00056-0 (Internet) 978-85-17-00057-7 (DVD) |
| Citation Key | GenovezEbFrBeFrDu:2011:SeClIm |
| Title | Segmentação e Classificação de Imagens SAR Aplicadas à Detecção de Alvos Escuros em Áreas Oceânicas de Exploração e Produção de Petróleo  |
| Format | DVD, Internet. |
| Year | 2011 |
| Access Date | 2024, May 19 |
| Secondary Type | PRE CN |
| Number of Files | 1 |
| Size | 704 KiB |
| 2. Context | |
| Author | 1 Genovez, Patrícia Carneiro 2 Ebecken, Nelson Francisco Favilla 3 Freitas, Corina da Costa 4 Bentz, Cristina Maria 5 Freitas, Ramon Morais de 6 Dutra, Luciano Vieira |
| Resume Identifier | 1 2 3 4 5 6 8JMKD3MGP5W/3C9JHMA |
| Group | 1 2 3 DPI-OBT-INPE-MCT-BR 4 5 DSR-OBT-INPE-MCT-BR 6 DPI-OBT-INPE-MCT-BR |
| Affiliation | 1 Integrated Petroleum Expertise Company - IPEXco 2 Universidade Federal do Rio de Janeiro – UFRJ/COPPE 3 Instituto Nacional de Pesquisas Espaciais - INPE 4 PETROBRAS/CENPES - Centro de Pesquisas 5 Universidade Federal do Rio de Janeiro – UFRJ/COPP 6 Universidade Federal do Rio de Janeiro – UFRJ/COPP |
| Author e-Mail Address | 1 patricia.genovez@ipexco.com.br 2 nelson@ntt.ufrj.br 3 corina@dpi.inpe.br 4 cris@petrobras.com.br 5 ramon@dsr.inpe.br 6 dutra@dpi.inpe.br |
| Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares |
| e-Mail Address | luana@dsr.inpe.br |
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 15 (SBSR). |
| Conference Location | Curitiba |
| Date | 30 abr. - 5 maio 2011 |
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) |
| Publisher City | São José dos Campos |
| Pages | 5973-5980 |
| Book Title | Anais |
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) |
| History (UTC) | 2011-08-15 15:17:46 :: luana@dsr.inpe.br -> administrator :: 2011 2018-06-06 02:23:38 :: administrator -> tereza@sid.inpe.br :: 2011 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Keywords | synthetic aperture radar (SAR) dark spot detection oil detection offshore exploration and production areas image segmentation and clusterization intelligent hybrid system radares de abertura sintética (SAR) detecção de alvos escuros detecção de óleo exploração e produção de petróleo em áreas offshore segmentação e clusterização de imagens sistema híbrido inteligente |
| Abstract | Automatic oil detection systems have been developed to improve SAR image interpretation, composed of four principal stages: a) image pre-processing; b) dark spot detection; c) feature extraction, and; d) oil and look-alike classification. The dark spot detection is considered the main step in the processing chain: without the geometry of the spots, the oil and look-alikes classification is unfeasible. In this context, this work aimed to develop an automatic procedure able to detect dark spots in SAR images, by the integration of segmentation and pattern recognition techniques. The results presented are continuity of the studies carried on by Genovez (2010) and consider the tree last stages as follow: a) features extraction, exploratory analyses and feature selection; b) dark spot detection using data clustering, and; c) validation of the proposed method. Considering that in the scientific community there isnt a wide agreement about the operational use of fully automatic methods, the development of an intelligent hybrid system, including decision rules able to conduct the images for one automatic or semi-automatic processing, was an interesting approach. The potential of these rules to improve the automation process was indicated. Nevertheless, more samples to return more robust rules are recommended in order to be widely applied to all SAR images acquired. |
| Area | SRE |
| Type | Oceanografia e Gerenciamento Costeiro |
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Segmentação e Classificação... |
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Segmentação e Classificação... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/3ERPFQRTRW/39UL54P |
| zipped data URL | http://urlib.net/zip/3ERPFQRTRW/39UL54P |
| Language | pt |
| Target File | p1570.pdf |
| User Group | administrator luana@dsr.inpe.br |
| Visibility | shown |
| 5. Allied materials | |
| Mirror Repository | urlib.net/www/2011/03.29.20.55 |
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.53.50 1 |
| Host Collection | dpi.inpe.br/banon/2003/12.10.19.30 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition issn label lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype url versiontype volume |
| 7. Description control | |
| e-Mail (login) | tereza@sid.inpe.br |
| update | |