| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21b.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34P/3LKDP6L | |||
| Repository | sid.inpe.br/mtc-m21b/2016/05.02.15.21 (restricted access) | |||
| Last Update | 2017:07.21.16.43.35 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21b/2016/05.02.15.21.15 | |||
| Metadata Last Update | 2018:06.04.02.40.44 (UTC) administrator | |||
| DOI | 10.1080/2150704X.2016.1154218 | |||
| ISSN | 2150-704X | |||
| Citation Key | NegriDutrSant:2016:CoSuVe | |||
| Title | Comparing support vector machine contextual approaches for urban area classification  | |||
| Year | 2016 | |||
| Month | May | |||
| Access Date | 2024, May 18 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 1781 KiB | |||
| 2. Context | ||||
| Author | 1 Negri, Rogério G. 2 Dutra, Luciano Vieira 3 Sant'Anna, Sidnei João Siqueira | |||
| Resume Identifier | 1 2 8JMKD3MGP5W/3C9JHMA 3 8JMKD3MGP5W/3C9JJ8N | |||
| Group | 1 2 DPI-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Universidade Estadual Paulista (UNESP) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 rogerio.negri@ict.unesp.br 2 luciano.dutra@inpe.br 3 sidnei.santanna@inpe.br | |||
| Journal | Remote Sensing Letters | |||
| Volume | 7 | |||
| Number | 5 | |||
| Pages | 485-494 | |||
| Secondary Mark | A2_GEOGRAFIA B2_INTERDISCIPLINAR B3_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS | |||
| History (UTC) | 2016-05-02 15:21:15 :: simone -> administrator :: 2017-01-09 13:59:26 :: administrator -> simone :: 2016 2017-07-21 16:43:35 :: simone -> administrator :: 2016 2018-06-04 02:40:44 :: administrator -> simone :: 2016 | |||
| 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 | |||
| Abstract | Support vector machine (SVM) has been receiving a great deal of attention for remote sensing data classification. Although the original formulation of this method does not incorporate contextual information, lately different formulations have been proposed to incorporate such information, with the aim of improving the mapping accuracy. In general, these proposals modify the SVM training phase or integrate the SVM classifications in stochastic models. Recently, two new contextual versions of SVM, context adaptive and competitive translative SVM (CaSVM and CtSVM, respectively), were proposed in literature. In this work, two case studies of urban area classification, using IKONOS-II and hyperspectral digital imagery collection experiment (HYDICE) data sets were conducted to compare SVM, SVM integrated with the iterated conditional modes (ICM) stochastic algorithm, SVM smoothed using the mode filter and the recent approaches CaSVM and CtSVM. The results indicated that although it possesses a high computational cost, the CaSVM method was able to produce classification results with similar accuracy (using kappa coefficient) to those obtained using SVM integrated with ICM (SVM+ICM) and the mode filter (SVM+Mode), all of them found statistically superior to the SVM result at 95% confidence level for the IKONOS-II image. For HYDICE image, all results were found statistically insignificant at 95% confidence level. Investigation of what happens at transition regions between classes, however, showed that some methods can present superior performance. To this objective, a new performance measure, called upsilon coefficient, was introduced in this work, which measures the impact that the smoothing effect, typical of contextual methods, can have in distorting the edges between regions. With this new measure was found that CaSVM is the one which has better performance followed with SVM+ICM. | |||
| Area | SRE | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Comparing support vector... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Archiving Policy | denypublisher denyfinaldraft12 | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | urlib.net/www/2011/03.29.20.55 | |||
| Next Higher Units | 8JMKD3MGPCW/3EQCCU5 | |||
| Citing Item List | sid.inpe.br/bibdigital/2013/09.09.15.05 3 sid.inpe.br/mtc-m21/2012/07.13.15.00.20 3 sid.inpe.br/mtc-m21/2012/07.13.14.53.50 1 | |||
| Dissemination | WEBSCI; MGA; COMPENDEX; SCOPUS. | |||
| Host Collection | sid.inpe.br/mtc-m21b/2013/09.26.14.25.20 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject targetfile tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||