Unsupervised land-cover classification through hyper-heuristic-based Harmony Search

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSao Paulo State Southwest College-
Autor(es): dc.contributorUniversity of Western São Paulo-
Autor(es): dc.creatorPapa, J. [UNESP]-
Autor(es): dc.creatorPapa, L.-
Autor(es): dc.creatorPisani, R.-
Autor(es): dc.creatorPereira, D.-
Data de aceite: dc.date.accessioned2022-08-04T22:05:29Z-
Data de disponibilização: dc.date.available2022-08-04T22:05:29Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2015-11-10-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/IGARSS.2015.7325699-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220596-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220596-
Descrição: dc.descriptionUnsupervised 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.-
Descrição: dc.descriptionSão Paulo State University Department of Computing-
Descrição: dc.descriptionSao Paulo State Southwest College Department of Health-
Descrição: dc.descriptionUniversity of Western São Paulo Department of Computing-
Descrição: dc.descriptionSão Paulo State University Department of Computing-
Formato: dc.format69-72-
Idioma: dc.languageen-
Relação: dc.relationInternational Geoscience and Remote Sensing Symposium (IGARSS)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectClustering-
Palavras-chave: dc.subjectGenetic Programming-
Palavras-chave: dc.subjectLand-cover classification-
Palavras-chave: dc.subjectMachine Learning-
Título: dc.titleUnsupervised land-cover classification through hyper-heuristic-based Harmony Search-
Aparece nas coleções:Repositório Institucional - Unesp

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