Publicação: On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification
| dc.contributor.author | Osaku, D. | |
| dc.contributor.author | Levada, A. L. M. | |
| dc.contributor.author | Papa, J. P. [UNESP] | |
| dc.contributor.author | BayroCorrochano, E. | |
| dc.contributor.author | Hancock, E. | |
| dc.contributor.institution | Universidade Federal de São Carlos (UFSCar) | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.date.accessioned | 2019-10-04T12:29:42Z | |
| dc.date.available | 2019-10-04T12:29:42Z | |
| dc.date.issued | 2014-01-01 | |
| dc.description.abstract | Contextual classification considers the information about a sample's neighborhood to improve standard pixel-based classification approaches. In this work, we evaluated four different Markovian models for Optimum-Path Forest contextual classification considering land use recognition in remote sensing data. Some insights about the situations in which each of them should be applied are stated, as well as the idea behind them is explained. | en |
| dc.description.affiliation | Fed Univ Sao Carlos UFSCar, Dept Comp Sci, Sao Carlos, SP, Brazil | |
| dc.description.affiliation | Sao Paulo State Univ UNESP, Dept Comp, Bauru, Brazil | |
| dc.description.affiliationUnesp | Sao Paulo State Univ UNESP, Dept Comp, Bauru, Brazil | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
| dc.description.sponsorshipId | FAPESP: 2012/064729 | |
| dc.description.sponsorshipId | FAPESP: 2013/20387-7 | |
| dc.description.sponsorshipId | CNPq: 303182/2011-3 | |
| dc.description.sponsorshipId | CNPq: 470571/2013-6 | |
| dc.format.extent | 462-469 | |
| dc.identifier.citation | Progress In Pattern Recognition Image Analysis, Computer Vision, And Applications, Ciarp 2014. Berlin: Springer-verlag Berlin, v. 8827, p. 462-469, 2014. | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.uri | http://hdl.handle.net/11449/184745 | |
| dc.identifier.wos | WOS:000346407400057 | |
| dc.language.iso | eng | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Progress In Pattern Recognition Image Analysis, Computer Vision, And Applications, Ciarp 2014 | |
| dc.rights.accessRights | Acesso aberto | |
| dc.source | Web of Science | |
| dc.subject | Optimum-Path Forest | |
| dc.subject | Contextual Classification | |
| dc.subject | Markov Random Fields | |
| dc.title | On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification | en |
| dc.type | Trabalho apresentado em evento | |
| dcterms.license | http://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0 | |
| dcterms.rightsHolder | Springer | |
| dspace.entity.type | Publication | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências, Bauru | pt |
| unesp.department | Computação - FC | pt |