A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors

Probably the most popular image fusion method is that based on the intensity-hue-saturation (IHS) transform. Although the spatial enhancement of the IHS-merged images is high, the distortion of its spectral information may also be important. In recent years, several methods have been developed to mi...

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Autores: Gonzalez-Audicana, M., Otazu Porter, Xavier, Fors Aldrich, Octavi, Alvarez-Mozos, J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2006
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/218550
Acceso en línea:https://hdl.handle.net/2445/218550
Access Level:acceso abierto
Palabra clave:Imatges
Satèl·lits
Pictures
Satellites
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spelling A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its SensorsGonzalez-Audicana, M.Otazu Porter, XavierFors Aldrich, OctaviAlvarez-Mozos, J.ImatgesSatèl·litsPicturesSatellitesProbably the most popular image fusion method is that based on the intensity-hue-saturation (IHS) transform. Although the spatial enhancement of the IHS-merged images is high, the distortion of its spectral information may also be important. In recent years, several methods have been developed to minimize this problem, being those based on wavelets widely used. However, the high computational cost of these approaches makes them unattractive to applications that involve fast merging of very large volumes of data. In this paper, we present a low computational-cost image fusion method based on the fast IHS transform, which uses the information of the spectral response functions of the low-resolution multispectral (LRM) and high-resolution panchromatic (HRP) sensors to minimize the spectral distortion problem. Using this information, we directly obtain from the HRP image the intensity image that the LRM sensor would observe if it worked at a spatial resolution similar to that of the HRP image. The experimental results carried out on IKONOS images demonstrate that the proposed approach can perform as well as wavelet-based approaches with a lower computational cost.Institute of Electrical and Electronics Engineers (IEEE)2006info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/218550Articles publicats en revistes (Física Quàntica i Astrofísica)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/https://doi.org/10.1109/TGRS.2005.863299IEEE Transactions on Geoscience and Remote Sensing, 2006, vol. 44, num.6, p. 1683-1691https://doi.org/https://doi.org/10.1109/TGRS.2005.863299(c) Institute of Electrical and Electronics Engineers (IEEE), 2006info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2185502026-05-27T06:46:51Z
dc.title.none.fl_str_mv A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
title A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
spellingShingle A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
Gonzalez-Audicana, M.
Imatges
Satèl·lits
Pictures
Satellites
title_short A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
title_full A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
title_fullStr A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
title_full_unstemmed A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
title_sort A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors
dc.creator.none.fl_str_mv Gonzalez-Audicana, M.
Otazu Porter, Xavier
Fors Aldrich, Octavi
Alvarez-Mozos, J.
author Gonzalez-Audicana, M.
author_facet Gonzalez-Audicana, M.
Otazu Porter, Xavier
Fors Aldrich, Octavi
Alvarez-Mozos, J.
author_role author
author2 Otazu Porter, Xavier
Fors Aldrich, Octavi
Alvarez-Mozos, J.
author2_role author
author
author
dc.subject.none.fl_str_mv Imatges
Satèl·lits
Pictures
Satellites
topic Imatges
Satèl·lits
Pictures
Satellites
description Probably the most popular image fusion method is that based on the intensity-hue-saturation (IHS) transform. Although the spatial enhancement of the IHS-merged images is high, the distortion of its spectral information may also be important. In recent years, several methods have been developed to minimize this problem, being those based on wavelets widely used. However, the high computational cost of these approaches makes them unattractive to applications that involve fast merging of very large volumes of data. In this paper, we present a low computational-cost image fusion method based on the fast IHS transform, which uses the information of the spectral response functions of the low-resolution multispectral (LRM) and high-resolution panchromatic (HRP) sensors to minimize the spectral distortion problem. Using this information, we directly obtain from the HRP image the intensity image that the LRM sensor would observe if it worked at a spatial resolution similar to that of the HRP image. The experimental results carried out on IKONOS images demonstrate that the proposed approach can perform as well as wavelet-based approaches with a lower computational cost.
publishDate 2006
dc.date.none.fl_str_mv 2006
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/218550
url https://hdl.handle.net/2445/218550
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/https://doi.org/10.1109/TGRS.2005.863299
IEEE Transactions on Geoscience and Remote Sensing, 2006, vol. 44, num.6, p. 1683-1691
https://doi.org/https://doi.org/10.1109/TGRS.2005.863299
dc.rights.none.fl_str_mv (c) Institute of Electrical and Electronics Engineers (IEEE), 2006
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Institute of Electrical and Electronics Engineers (IEEE), 2006
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv Articles publicats en revistes (Física Quàntica i Astrofísica)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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