Publicação: UNSUPERVISED LAND-COVER CLASSIFICATION THROUGH HYPER-HEURISTIC-BASED HARMONY SEARCH
| dc.contributor.author | Papa, J. [UNESP] | |
| dc.contributor.author | Papa, L. | |
| dc.contributor.author | Pisani, R. | |
| dc.contributor.author | Pereira, D. | |
| dc.contributor.author | IEEE | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.contributor.institution | Sao Paulo State Southwest Coll | |
| dc.contributor.institution | Univ Western Sao Paulo | |
| dc.date.accessioned | 2018-11-26T16:27:55Z | |
| dc.date.available | 2018-11-26T16:27:55Z | |
| dc.date.issued | 2015-01-01 | |
| dc.description.abstract | Unsupervised land-cover classification aims at learning intrinsic properties of spectral and spatial features for the task of area coverage in urban and rural areas. In this paper, we propose to model the problem of optimizing the well-known k means algorithm by combining different variations of the Harmony Search technique using Genetic Programming (GP). We have shown GP can improve the recognition rates when using one optimization technique only, but it still deserves a deeper study when we have a very good individual technique to be combined. | en |
| dc.description.affiliation | Sao Paulo State Univ, Dept Comp, Bauru, SP, Brazil | |
| dc.description.affiliation | Sao Paulo State Southwest Coll, Dept Hlth, Avare, SP, Brazil | |
| dc.description.affiliation | Univ Western Sao Paulo, Dept Comp, Presidente Prudente, SP, Brazil | |
| dc.description.affiliationUnesp | Sao Paulo State Univ, Dept Comp, Bauru, SP, Brazil | |
| dc.format.extent | 69-72 | |
| dc.identifier.citation | 2015 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 69-72, 2015. | |
| dc.identifier.issn | 2153-6996 | |
| dc.identifier.uri | http://hdl.handle.net/11449/161289 | |
| dc.identifier.wos | WOS:000371696700018 | |
| dc.language.iso | eng | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2015 Ieee International Geoscience And Remote Sensing Symposium (igarss) | |
| dc.rights.accessRights | Acesso aberto | |
| dc.source | Web of Science | |
| dc.subject | Clustering | |
| dc.subject | Land-cover classification | |
| dc.subject | Machine Learning | |
| dc.subject | Genetic Programming | |
| dc.title | UNSUPERVISED LAND-COVER CLASSIFICATION THROUGH HYPER-HEURISTIC-BASED HARMONY SEARCH | en |
| dc.type | Trabalho apresentado em evento | |
| dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
| dcterms.rightsHolder | Ieee | |
| dspace.entity.type | Publication | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências, Bauru | pt |
| unesp.department | Computação - FC | pt |