| 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@80/2008/11.17.19.10 | |||
| Last Update | 2009:03.30.14.19.52 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.17.19.10.02 | |||
| Metadata Last Update | 2022:07.07.03.46.45 (UTC) administrator | |||
| Secondary Key | INPE-15827-PRE/10437 | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | BernardesFonsMoreCama:2009:EsReSe | |||
| Title | Estruturação de redes semânticas na classificação orientada a objeto de imagens orbitais para mapeamento de áreas cafeeiras  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2024, May 15 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 1148 KiB | |||
| 2. Context | ||||
| Author | 1 Bernardes, Tiago 2 Fonseca, Leila Maria Garcia 3 Moreira, Mauricio Alves 4 Camargo, Flávio Fortes | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHLD 3 8JMKD3MGP5W/3C9JHT4 | |||
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DPI-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais - INPE 2 Instituto Nacional de Pesquisas Espaciais - INPE 3 Instituto Nacional de Pesquisas Espaciais - INPE 4 Instituto Nacional de Pesquisas Espaciais - INPE | |||
| Author e-Mail Address | 1 bernati@dsr.inpe.br 2 leila@dpi.inpe.br 3 mauricio@ltid.inpe.br 4 fortes@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 | 6789-6796 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-19 16:39:05 :: bernati@dsr.inpe.br -> sbsr :: 2008-12-15 19:53:25 :: sbsr -> lise@dpi.inpe.br :: 2009-01-19 13:49:33 :: lise@dpi.inpe.br -> sbsr :: 2009-02-19 20:16:40 :: sbsr -> administrator :: 2009-05-28 13:02:20 :: administrator -> lise@dpi.inpe.br :: 2009-06-09 19:31:43 :: lise@dpi.inpe.br -> marciana :: 2009-06-22 13:55:22 :: marciana -> erich@sid.inpe.br :: 2009-06-23 17:23:50 :: erich@sid.inpe.br -> administrator :: 2009-08-05 01:58:45 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:39 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:17:11 :: marciana -> administrator :: 2009 2022-07-07 03:46:45 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | coffee image segmentation object-based image analysis café segmentação de imagens análise orientada a objeto | |||
| Abstract | Mapping coffee lands by using intermediate spatial resolution imagery has been a challenge for remote sensing researchers. Several environmental, physiological and crop management factors, increase confusion in both visual interpretation and automatic classification of coffee fields relative to other landcover units. It is essential to combine spectral information from the satellite imagery with ancillary data, such as environmental factors and contextual interpretation elements (e.g. the degree and kind of texture and shape conditions) transposed to digital analysis. This study shows the outcomes of Object Based Image Analysis (OBIA) of coffee lands supported by ancillary data. Non supervised classification (the ISOSEG algorithm available in the SPRING software) of the same area using Landsat Thematic Mapper (TM) images was carried out in order to compare the results. A reference map was generated by on-screen digitalization of Landsat imagery. They were selected on-screen several features to improve the land cover classification through a semantic net. The object-oriented classification performed better, in terms of accuracy, than the non supervised classification. The highest overall accuracy was 83%. However, some types of coffee crops could not be identified only by expert knowledge based selection of features, so it is advisable to use a formal method, such as data mining, to well select the best thresholds and the features suitable to identify those types of coffee crops. | |||
| Area | SRE | |||
| Type | Processamento de Imagens | |||
| Arrangement 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Estruturação de redes... | |||
| Arrangement 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Estruturação de redes... | |||
| doc Directory Content | access | |||
| source Directory Content |
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| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.19.10 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.17.19.10 | |||
| Language | pt | |||
| Target File | 6789-6796.pdf | |||
| User Group | administrator bernati@dsr.inpe.br lise@dpi.inpe.br marciana erich@sid.inpe.br administrator | |||
| Reader Group | administrator bernati@dsr.inpe.br | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 | |||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.56.26 2 | |||
| Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq | |||
| 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 | |||