| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | plutao.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | J8LNKAN8RW/3D53LN8 |
| Repository | dpi.inpe.br/plutao/2012/11.28.16.49 |
| Last Update | 2015:03.16.19.28.13 (UTC) administrator |
| Metadata Repository | dpi.inpe.br/plutao/2012/11.28.16.49.04 |
| Metadata Last Update | 2018:06.05.00.02.06 (UTC) administrator |
| Secondary Key | INPE--PRE/ |
| Label | lattes: 8201805132981288 1 NegriDutrSant:2012:SuVeMa |
| Citation Key | NegriDutrSant:2012:SuVeMa |
| Title | Support Vector Machine and Bathacharrya Kernel Function for Region Based Classification  |
| Format | DVD |
| Year | 2012 |
| Access Date | 2024, May 19 |
| Secondary Type | PRE CI |
| Number of Files | 1 |
| Size | 1721 KiB |
| 2. Context | |
| Author | 1 Negri, Rogério Galante 2 Dutra, Luciano Vieira 3 Sant'Anna, Sidinei João Siqueira |
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMA |
| Group | 1 DPI-OBT-INPE-MCTI-GOV-BR 2 DPI-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-INPE-MCTI-GOV-BR |
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
| Author e-Mail Address | 1 rogerio@dpi.inpe.br 2 dutra@dpi.inpe.br 3 sidnei@dpi.inpe.br |
| e-Mail Address | rogerio@dpi.inpe.br |
| Conference Name | IEEE International Geoscience and Remote Sensing Symposium, 32 (IGARSS). |
| Conference Location | Munich |
| Date | 2012 |
| Book Title | Proceedings |
| Tertiary Type | Paper |
| History (UTC) | 2012-11-28 23:06:29 :: lattes -> marciana :: 2012 2012-12-03 16:19:00 :: marciana -> administrator :: 2012 2018-06-05 00:02:06 :: administrator -> :: 2012 |
| 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 | Region Based Classification Support Vector Machine Stochastic Distance Bhattacharyya Kernel Function |
| Abstract | Region based methods are indicated to classify image with strong heterogeneity, where only the spectral information is not enough. Different approaches have been proposed to perform this kind of classification. This study presents a new approach for region based classification that consists in use the Support Vector Machine (SVM) method with Bhattacharyya kernel function. A high resolution IKONOS image was classified. The classification results shows that SVM method using the Bhattacharyya kernel is better than Minimum Distance Classifier and conventional SVM. |
| Area | SRE |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Support Vector Machine... |
| 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/J8LNKAN8RW/3D53LN8 |
| zipped data URL | http://urlib.net/zip/J8LNKAN8RW/3D53LN8 |
| Language | en |
| Target File | negri_support.pdf |
| User Group | lattes marciana |
| Reader Group | administrator marciana |
| Visibility | shown |
| Read Permission | allow from all |
| Update Permission | not transferred |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 |
| Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notes | |
| Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume |