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@80/2008/11.11.18.20 |
Last Update | 2009:03.30.21.41.38 (UTC) administrator |
Metadata Repository | dpi.inpe.br/sbsr@80/2008/11.11.18.20.24 |
Metadata Last Update | 2022:07.07.03.53.08 (UTC) administrator |
Secondary Key | INPE-15959-PRE/10568 |
ISBN | 978-85-17-00044-7 |
Citation Key | NegriDuFrScSiAb:2009:ClCoTe |
Title | Classificação da cobertura da terra na Amazônia utilizando Imagens Polarimétricas em Banda L e Maquina de Vetores Suporte |
Format | DVD, On-line. |
Year | 2009 |
Access Date | 2024, May 19 |
Secondary Type | PRE CN |
Number of Files | 1 |
Size | 3832 KiB |
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2. Context | |
Author | 1 Negri, Rogério Galante 2 Dutra, Luciano Vieira 3 Freitas, Corina da Costa 4 Scofield, Graziela Balda 5 Silva, Daniel Luís Andrade e 6 Aboud Neta, Sumaia Resegue |
Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMA |
Group | 1 DPI-OBT-INPE-MCT-BR 2 DPI-OBT-INPE-MCT-BR 3 DPI-OBT-INPE-MCT-BR 4 DPI-OBT-INPE-MCT-BR 5 DPI-OBT-INPE-MCT-BR 6 DPI-OBT-INPE-MCT-BR |
Affiliation | 1 INPE/SP 2 INPE/SP 3 INPE/SP 4 INPE/SP 5 INPE/SP 6 INPE/SP |
Author e-Mail Address | 1 rogerio@dpi.inpe.br 2 dutra@dpi.inpe.br 3 corina@dpi.inpe.br 4 graziela@dpi.inpe.br 5 andrade@dpi.inpe.br 6 sumaia@dpi.inpe.br |
Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares |
e-Mail Address | lise@dpi.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 | 7863-7869 |
Book Title | Anais |
Tertiary Type | Artigo |
Organization | Instituto Nacional de Pesquisas Espaciais (INPE) |
History (UTC) | 2008-11-18 13:18:16 :: rogerio@dpi.inpe.br -> sbsr :: 2008-12-15 19:35:18 :: sbsr -> lise@dpi.inpe.br :: 2008-12-16 23:45:26 :: lise@dpi.inpe.br -> sbsr :: 2008-12-17 13:28:13 :: sbsr -> lise@dpi.inpe.br :: 2008-12-18 12:33:59 :: lise@dpi.inpe.br -> sbsr :: 2009-01-09 13:08:13 :: sbsr -> lise@dpi.inpe.br :: 2009-01-19 12:43:28 :: lise@dpi.inpe.br -> sbsr :: 2009-02-19 20:16:15 :: sbsr -> administrator :: 2009-05-28 12:56:11 :: administrator -> lise@dpi.inpe.br :: 2009-06-16 13:14:48 :: lise@dpi.inpe.br -> marciana :: 2009-06-22 13:55:09 :: marciana -> erich@sid.inpe.br :: 2009-06-26 14:08:51 :: erich@sid.inpe.br -> administrator :: 2009-08-05 01:50:52 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:25 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:16:53 :: marciana -> administrator :: 2009 2022-07-07 03:53:08 :: administrator -> :: 2009 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Classificação de Imagens SVM ALOS PALSAR |
Abstract | For scientific purposes the ALOS PALSAR sensor can, sporadically, provide full polarimetric SAR data (HH, HV and VV) In this paper the deterministic supervised classifier Support Vector Machines (SVM), have been studied to determine how much the use of full polarized (HH, VV and HV, no phase information) PALSAR data information can improve, or not, the overall classification accuracy in comparison with the standard products, which, for PALSAR instrument, is the HH (like JERS-1) or the dual polarization product HH-HV. The overall performance of this type of classifier is also of interest. The study area, Tapajós National Forest at the south of Santarém City, in the Brazilian Amazon, Pará State, has being object of intensive scientific observation and a set of seven classes were used to this assessment: primary forest, secondary forest, bare soil, two types of soy beans, pasture and degraded forest. The three polarimetric channels have also been filtered before the classification process by a 5x5 gamma filter, but the unfiltered channels were also put to test. Results showed that HH and HV filtered channels combination provided the best classification performance with 65%, but did not realize a very good separation between Primary and Secondary Forest. |
Area | SRE |
Type | Técnicas de Classificação e Mineração de Dados |
doc Directory Content | access |
source Directory Content | RogerioSBSR.pdf | 18/11/2008 11:18 | 3.6 MiB | |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.11.18.20 |
zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/11.11.18.20 |
Language | pt |
Target File | 7863-7869.pdf |
User Group | administrator rogerio@dpi.inpe.br lise@dpi.inpe.br marciana erich@sid.inpe.br administrator |
Reader Group | administrator rogerio@dpi.inpe.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 |
Next Higher Units | 8JMKD3MGPCW/3EQCCU5 |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.53.50 1 |
Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 |
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6. Notes | |
Sponsor | FAPESP, CAPES, 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 |
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