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://hdl.handle.net/11449/161289 |
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 |
spelling |
UNSUPERVISED LAND-COVER CLASSIFICATION THROUGH HYPER-HEURISTIC-BASED HARMONY SEARCHClusteringLand-cover classificationMachine LearningGenetic ProgrammingUnsupervised 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.Sao Paulo State Univ, Dept Comp, Bauru, SP, BrazilSao Paulo State Southwest Coll, Dept Hlth, Avare, SP, BrazilUniv Western Sao Paulo, Dept Comp, Presidente Prudente, SP, BrazilSao Paulo State Univ, Dept Comp, Bauru, SP, BrazilIeeeUniversidade Estadual Paulista (Unesp)Sao Paulo State Southwest CollUniv Western Sao PauloPapa, J. [UNESP]Papa, L.Pisani, R.Pereira, D.IEEE2018-11-26T16:27:55Z2018-11-26T16:27:55Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject69-722015 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 69-72, 2015.2153-6996http://hdl.handle.net/11449/161289WOS:000371696700018Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 Ieee International Geoscience And Remote Sensing Symposium (igarss)info:eu-repo/semantics/openAccess2024-04-23T16:11:26Zoai:repositorio.unesp.br:11449/161289Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:20:04.041471Repositório 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 Land-cover classification Machine Learning Genetic Programming |
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. IEEE |
author_role |
author |
author2 |
Papa, L. Pisani, R. Pereira, D. IEEE |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Sao Paulo State Southwest Coll Univ Western Sao Paulo |
dc.contributor.author.fl_str_mv |
Papa, J. [UNESP] Papa, L. Pisani, R. Pereira, D. IEEE |
dc.subject.por.fl_str_mv |
Clustering Land-cover classification Machine Learning Genetic Programming |
topic |
Clustering Land-cover classification Machine Learning Genetic Programming |
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 |
2015-01-01 2018-11-26T16:27:55Z 2018-11-26T16:27:55Z |
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 |
2015 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 69-72, 2015. 2153-6996 http://hdl.handle.net/11449/161289 WOS:000371696700018 |
identifier_str_mv |
2015 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 69-72, 2015. 2153-6996 WOS:000371696700018 |
url |
http://hdl.handle.net/11449/161289 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2015 Ieee 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.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808129053405741056 |