Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images

Detalhes bibliográficos
Autor(a) principal: Hausen, Eias
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/18407
Resumo: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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spelling Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite ImagesArray DatabaseDatabase ComparisonGeoTIFF ImagesHyperspectral ImagingHyperspectral Satellite ImagesRaster DatabaseSatellite Images StorageSciDBDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesHyperspectral Imaging is a technique that collects information from the electromagnetic spectrum, storing the value of the spectrum band for each pixel of the image. This technique stands out for the contiguous wide range of wavelengths it covers; leading to the ability of accurate surface and material distinction. The big volumes of Hyperspectral Images datasets, which are called data cubes as the band value represent the third dimension, have been a barrier against exploiting the full potential of these images where there is no standardized way in storing them. On top of that, the classical relational databases proved to be an inconvenient storage space for such images. Array databases have been a serious choice for storing scientific and big volumes of data, and they represent a promising suitable environment for hyperspectral images. We aim to study the efficiency of storing hyperspectral images on an array-database by suggesting a convenient data model. Furthermore, in order to examine the feasibility of this model, we make a comparison with two relational databases using specific measurements in performance and query complexity.Guerrero, IgnacioPebesma, EdzerPainho, Marco Octávio TrindadeRUNHausen, Eias2016-07-05T15:02:52Z2016-03-072016-03-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/18407TID:201180260enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:57:27Zoai:run.unl.pt:10362/18407Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:24:42.989979Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
title Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
spellingShingle Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
Hausen, Eias
Array Database
Database Comparison
GeoTIFF Images
Hyperspectral Imaging
Hyperspectral Satellite Images
Raster Database
Satellite Images Storage
SciDB
title_short Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
title_full Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
title_fullStr Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
title_full_unstemmed Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
title_sort Array-database Model (SciDB) for Standardized Storing of Hyperspectral Satellite Images
author Hausen, Eias
author_facet Hausen, Eias
author_role author
dc.contributor.none.fl_str_mv Guerrero, Ignacio
Pebesma, Edzer
Painho, Marco Octávio Trindade
RUN
dc.contributor.author.fl_str_mv Hausen, Eias
dc.subject.por.fl_str_mv Array Database
Database Comparison
GeoTIFF Images
Hyperspectral Imaging
Hyperspectral Satellite Images
Raster Database
Satellite Images Storage
SciDB
topic Array Database
Database Comparison
GeoTIFF Images
Hyperspectral Imaging
Hyperspectral Satellite Images
Raster Database
Satellite Images Storage
SciDB
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2016
dc.date.none.fl_str_mv 2016-07-05T15:02:52Z
2016-03-07
2016-03-07T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/18407
TID:201180260
url http://hdl.handle.net/10362/18407
identifier_str_mv TID:201180260
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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