| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | marte.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Repository | dpi.inpe.br/sbsr@80/2008/11.17.22.15 | |||
| Last Update | 2009:03.30.21.34.44 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.17.22.15.02 | |||
| Metadata Last Update | 2022:07.07.03.53.28 (UTC) administrator | |||
| Secondary Key | INPE-15842-PRE/10452 | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | CamargoFlorAlmeOliv:2009:MaGeSe | |||
| Title | Mapeamento geomorfológico semi-automatizado por meio de análise orientada a objeto multinível e dados ASTER/Terra  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2024, May 18 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 755 KiB | |||
| 2. Context | ||||
| Author | 1 Camargo, Flávio Fortes 2 Florenzano, Teresa Gallotti 3 Almeida, Cláudia Maria de 4 Oliveira, Cleber Gonzales de | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JJ9T 3 8JMKD3MGP5W/3C9JGS3 | |||
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais/SP 2 Instituto Nacional de Pesquisas Espaciais/SP 3 Instituto Nacional de Pesquisas Espaciais/SP 4 Instituto Nacional de Pesquisas Espaciais/SP | |||
| Author e-Mail Address | 1 fortes@dsr.inpe.br 2 teresa@dsr.inpe.br 3 almeida@dsr.inpe.br 4 cleber@dsr.inpe.br | |||
| Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares | |||
| e-Mail Address | erich@sid.inpe.br | |||
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR) | |||
| Conference Location | Natal | |||
| Date | 25-30 abr. 2009 | |||
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Publisher City | São José dos Campos | |||
| Pages | 7765-7772 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-17 22:15:02 :: fortes@dsr.inpe.br -> sbsr :: 2009-02-19 14:15:44 :: sbsr -> administrator :: 2009-04-20 16:33:10 :: administrator -> fortes@dsr.inpe.br :: 2009-04-22 01:16:08 :: fortes@dsr.inpe.br -> administrator :: 2009-06-16 13:15:01 :: administrator -> marciana :: 2009-06-22 13:55:26 :: marciana -> erich@sid.inpe.br :: 2009-06-23 17:38:12 :: erich@sid.inpe.br -> administrator :: 2009-08-05 02:01:13 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:44 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:17:17 :: marciana -> administrator :: 2009 2022-07-07 03:53:28 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | remote sensing digital images processing multiresolution segmentation fuzzy logic sensoriamento remoto processamento digital de imagens segmentação multiresolução lógica nebulosa | |||
| Abstract | This research aimed to develop a semi-automatic geomorphological mapping methodology using object-based image analysis and ASTER/Terra data. The study area was the municipality of São José dos Campos, located in São Paulo State, Brazil. For this end, hierarchical semantic networks (meant for the storage and reproduction of expert knowledge) together with fuzzy logic and a set of multispectral, textural, and geomorphometric variables were used. The textural and geomorphometric variables were extracted from the DEM (with known accuracy), obtained from the pair of stereoscopic ASTER/Terra images. For the analysis, objects were generated by a four-level multiresolution segmentation, taking into account specific variables. The hierarchical semantic net was initially conceived to classify the geomorphological macrounits and was then further detailed to allow a finer classification, which amounted to eleven classes of detailed geomorphological units. In order to accomplish the classification evaluation, object-based statistical indices (producer´s accuracy, consumer´s accuracy, global accuracy, Kappa index and Tau index) were derived from a contingency table, obtained by means of a comparison between the classified scene and a reference map. The values of the global accuracy (84,2%), Tau (82,7%) and Kappa (81,2%) indices indicate a strong agreement. The object-based image analysis has shown to be a suitable method for semi-automatic procedures in geomorphological mapping. | |||
| Area | SRE | |||
| Type | Técnicas de Classificação e Mineração de Dados | |||
| doc Directory Content | access | |||
| source Directory Content |
| |||
| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.22.15 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.17.22.15 | |||
| Language | pt | |||
| Target File | 7765-7772.pdf | |||
| User Group | administrator fortes@dsr.inpe.br marciana erich@sid.inpe.br administrator | |||
| Reader Group | administrator fortes@dsr.inpe.br | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 | |||
| Next Higher Units | 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.15.00.52 1 | |||
| Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | CAPES, CNPq e FINEP/SEBRAE (Proc. 2799/06) | |||
| Mark | 1 | |||
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle tertiarymark url versiontype volume | |||