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...
- 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
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UNACIONAL2 |
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Universidad Nacional de Colombia |
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|
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 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN: 2248-8723 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/67600 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/68629/ |
identifier_str_mv |
ISSN: 2248-8723 |
url |
https://repositorio.unal.edu.co/handle/unal/67600 http://bdigital.unal.edu.co/68629/ |
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 |
bitstream.url.fl_str_mv |
https://repositorio.unal.edu.co/bitstream/unal/67600/1/54267-313304-1-PB.pdf https://repositorio.unal.edu.co/bitstream/unal/67600/2/54267-313304-1-PB.pdf.jpg |
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1814089758943477760 |
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 |