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

Detalhes bibliográficos
Autor(a) principal: Papa, J. [UNESP]
Data de Publicação: 2015
Outros Autores: Papa, L., Pisani, R., Pereira, D.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IGARSS.2015.7325699
http://hdl.handle.net/11449/220596
Resumo: 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.
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spelling Unsupervised land-cover classification through hyper-heuristic-based Harmony SearchClusteringGenetic ProgrammingLand-cover classificationMachine LearningUnsupervised 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.São Paulo State University Department of ComputingSao Paulo State Southwest College Department of HealthUniversity of Western São Paulo Department of ComputingSão Paulo State University Department of ComputingUniversidade Estadual Paulista (UNESP)Sao Paulo State Southwest CollegeUniversity of Western São PauloPapa, J. [UNESP]Papa, L.Pisani, R.Pereira, D.2022-04-28T19:03:17Z2022-04-28T19:03:17Z2015-11-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject69-72http://dx.doi.org/10.1109/IGARSS.2015.7325699International Geoscience and Remote Sensing Symposium (IGARSS), v. 2015-November, p. 69-72.http://hdl.handle.net/11449/22059610.1109/IGARSS.2015.73256992-s2.0-84962486996Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Geoscience and Remote Sensing Symposium (IGARSS)info:eu-repo/semantics/openAccess2022-04-28T19:03:17Zoai:repositorio.unesp.br:11449/220596Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T19:03:17Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
title Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
spellingShingle Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
Papa, J. [UNESP]
Clustering
Genetic Programming
Land-cover classification
Machine Learning
title_short Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
title_full Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
title_fullStr Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
title_full_unstemmed Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
title_sort Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
author Papa, J. [UNESP]
author_facet Papa, J. [UNESP]
Papa, L.
Pisani, R.
Pereira, D.
author_role author
author2 Papa, L.
Pisani, R.
Pereira, D.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Sao Paulo State Southwest College
University of Western São Paulo
dc.contributor.author.fl_str_mv Papa, J. [UNESP]
Papa, L.
Pisani, R.
Pereira, D.
dc.subject.por.fl_str_mv Clustering
Genetic Programming
Land-cover classification
Machine Learning
topic Clustering
Genetic Programming
Land-cover classification
Machine Learning
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-10
2022-04-28T19:03:17Z
2022-04-28T19:03:17Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/IGARSS.2015.7325699
International Geoscience and Remote Sensing Symposium (IGARSS), v. 2015-November, p. 69-72.
http://hdl.handle.net/11449/220596
10.1109/IGARSS.2015.7325699
2-s2.0-84962486996
url http://dx.doi.org/10.1109/IGARSS.2015.7325699
http://hdl.handle.net/11449/220596
identifier_str_mv International Geoscience and Remote Sensing Symposium (IGARSS), v. 2015-November, p. 69-72.
10.1109/IGARSS.2015.7325699
2-s2.0-84962486996
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Geoscience and Remote Sensing Symposium (IGARSS)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 69-72
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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