Unsupervised land-cover classification through hyper-heuristic-based Harmony Search
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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2946 |
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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:29462024-08-05T16:48:21.156728Repositório 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 |
|
_version_ |
1808128704039092224 |