Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging

Hyperspectral imaging (HSI) is used in a wide range of applications such as remote sensing, space imagery, mineral detection, and exploration. Unfortunately, it is difficult to acquire hyperspectral images with high spatial and spectral resolution due to instrument limitations. The super-resolution...

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Autores:
Marquez Castellanos, Miguel Angel
Vargas, Cesar Augusto
Arguello, Henry
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67600
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67600
http://bdigital.unal.edu.co/68629/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Hyperspectral imaging
spatio-spectral dimension
three-dimensional interpolation
hyperspectral downsampling
Imágenes hiperespectrales
dimensión especial-espectral
interpolación tridimensional
sub-muestreo hiperespectral
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_17b1724aa91d28b93ba6ee43cdf5507e
oai_identifier_str oai:repositorio.unal.edu.co:unal/67600
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
title Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
spellingShingle Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
62 Ingeniería y operaciones afines / Engineering
Hyperspectral imaging
spatio-spectral dimension
three-dimensional interpolation
hyperspectral downsampling
Imágenes hiperespectrales
dimensión especial-espectral
interpolación tridimensional
sub-muestreo hiperespectral
title_short Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
title_full Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
title_fullStr Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
title_full_unstemmed Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
title_sort Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging
dc.creator.fl_str_mv Marquez Castellanos, Miguel Angel
Vargas, Cesar Augusto
Arguello, Henry
dc.contributor.author.spa.fl_str_mv Marquez Castellanos, Miguel Angel
Vargas, Cesar Augusto
Arguello, Henry
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Hyperspectral imaging
spatio-spectral dimension
three-dimensional interpolation
hyperspectral downsampling
Imágenes hiperespectrales
dimensión especial-espectral
interpolación tridimensional
sub-muestreo hiperespectral
dc.subject.proposal.spa.fl_str_mv Hyperspectral imaging
spatio-spectral dimension
three-dimensional interpolation
hyperspectral downsampling
Imágenes hiperespectrales
dimensión especial-espectral
interpolación tridimensional
sub-muestreo hiperespectral
description Hyperspectral imaging (HSI) is used in a wide range of applications such as remote sensing, space imagery, mineral detection, and exploration. Unfortunately, it is difficult to acquire hyperspectral images with high spatial and spectral resolution due to instrument limitations. The super-resolution techniques are used to reconstruct low-resolution hyperspectral images. However, traditional superresolution (SR) approaches do not allow direct use of both spatial and spectral information, which is a decisive for an optimal reconstruction. This paper proposes a single image SR algorithm for HSI. The algorithm uses the fact that the spatial and spectral information can be integrated to make an accurate estimate of the high-resolution HSI. To achieve this, two types of spatio- pectral downsampling, and a three-dimensional interpolation are proposed in order to increase coherence between the spatial and spectral information. The resulting reconstructions using the proposed method are up to 2 dB better than traditional SR approaches.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016-09-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:38:45Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:38:45Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/67600
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identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67600
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dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/54267
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Marquez Castellanos, Miguel Angel and Vargas, Cesar Augusto and Arguello, Henry (2016) Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging. Ingeniería e Investigación, 36 (3). pp. 117-124. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Marquez Castellanos, Miguel Angeld544013a-3a94-450f-b8b3-44a84402585b300Vargas, Cesar Augusto119d32b2-98d6-40ca-9dad-adb5f7778feb300Arguello, Henry2bb5e778-476b-4ad7-b4fc-dab9b6018f8b3002019-07-03T04:38:45Z2019-07-03T04:38:45Z2016-09-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67600http://bdigital.unal.edu.co/68629/Hyperspectral imaging (HSI) is used in a wide range of applications such as remote sensing, space imagery, mineral detection, and exploration. Unfortunately, it is difficult to acquire hyperspectral images with high spatial and spectral resolution due to instrument limitations. The super-resolution techniques are used to reconstruct low-resolution hyperspectral images. However, traditional superresolution (SR) approaches do not allow direct use of both spatial and spectral information, which is a decisive for an optimal reconstruction. This paper proposes a single image SR algorithm for HSI. The algorithm uses the fact that the spatial and spectral information can be integrated to make an accurate estimate of the high-resolution HSI. To achieve this, two types of spatio- pectral downsampling, and a three-dimensional interpolation are proposed in order to increase coherence between the spatial and spectral information. The resulting reconstructions using the proposed method are up to 2 dB better than traditional SR approaches.Las imágenes hiperespectrales (HSI) son de vital importancia en una amplia gama de aplicaciones, tales como la teledetección, imágenes espaciales, la detección y la exploración de minerales. Desafortunadamente, es difícil adquirir HSI de alta resolución espacio-espectral debido a las limitaciones de los equipos de sensado. Para obtener versiones de HSI de alta calidad se usan técnicas tradicionales de superresolución. Éstas técnicas no permiten el uso directo de la información espacial y espectral que son un factor decisivo para una óptima reconstrucción. En este trabajo se propone la implementación de un novedoso algoritmo de superresolución de una sola imagen hiperespectral. El algoritmo integra la información espacial y espectral en las HSI para realizar una estimación precisa de alta resolución. Esta integración se obtiene mediante el uso de dos tipos de muestreo espacio-espectral y un interpolador tridimensional, que permite aumentar la coherencia de la información inherente en la imagen. Las imágenes resultantes son superiores hasta 2 dB comparas con reconstrucciones obtenidas por enfoques tradicionales.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/54267Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónMarquez Castellanos, Miguel Angel and Vargas, Cesar Augusto and Arguello, Henry (2016) Compact spatio-spectral algorithm for single image super-resolution in hyperspectral imaging. Ingeniería e Investigación, 36 (3). pp. 117-124. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringHyperspectral imagingspatio-spectral dimensionthree-dimensional interpolationhyperspectral downsamplingImágenes hiperespectralesdimensión especial-espectralinterpolación tridimensionalsub-muestreo hiperespectralCompact spatio-spectral algorithm for single image super-resolution in hyperspectral imagingArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL54267-313304-1-PB.pdfapplication/pdf1550701https://repositorio.unal.edu.co/bitstream/unal/67600/1/54267-313304-1-PB.pdf0dd3b65ce5375c665b44a963a86e0ca6MD51THUMBNAIL54267-313304-1-PB.pdf.jpg54267-313304-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8499https://repositorio.unal.edu.co/bitstream/unal/67600/2/54267-313304-1-PB.pdf.jpg47aa2aa9641ed3bc239ca8b272eab7c2MD52unal/67600oai:repositorio.unal.edu.co:unal/676002024-05-22 23:33:54.515Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co