Super-resolution of remotely sensed images with variable-pixel linear reconstruction

This paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher resolution image. We show that it can make sig...

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Detalles Bibliográficos
Autores: Merino Espasa, María Teresa, Núñez de Murga, Jorge, 1955-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2007
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/8565
Acceso en línea:https://hdl.handle.net/2445/8565
Access Level:acceso abierto
Palabra clave:Teledetecció
Processament d'imatges
Image reconstruction
Image resolution
Remote sensing
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spelling Super-resolution of remotely sensed images with variable-pixel linear reconstructionMerino Espasa, María TeresaNúñez de Murga, Jorge, 1955-TeledeteccióProcessament d'imatgesImage reconstructionImage resolutionRemote sensingThis paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher resolution image. We show that it can make significant spatial resolution improvements to satellite images of the Earth¿s surface allowing recognition of objects with size approaching the limiting spatial resolution of the lower resolution images. The algorithm is based on the Variable-Pixel Linear Reconstruction algorithm developed by Fruchter and Hook, a well-known method in astronomy but never used for Earth remote sensing purposes. The algorithm preserves photometry, can weight input images according to the statistical significance of each pixel, and removes the effect of geometric distortion on both image shape and photometry. In this paper, we describe its development for remote sensing purposes, show the usefulness of the algorithm working with images as different to the astronomical images as the remote sensing ones, and show applications to: 1) a set of simulated multispectral images obtained from a real Quickbird image; and 2) a set of multispectral real Landsat Enhanced Thematic Mapper Plus (ETM+) images. These examples show that the algorithm provides a substantial improvement in limiting spatial resolution for both simulated and real data sets without significantly altering the multispectral content of the input low-resolution images, without amplifying the noise, and with very few artifacts.IEEE200920092007info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion12 p.application/pdfhttps://hdl.handle.net/2445/8565Articles publicats en revistes (Física Quàntica i Astrofísica)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a http://dx.doi.org/10.1109/TGRS.2007.893271IEEE Transactions on Geoscience and Remote Sensing, 2007, vol. 45, núm. 5 (Part 2), p. 1446-1457.http://dx.doi.org/10.1109/TGRS.2007.893271(c) IEEE, 2007info:eu-repo/semantics/openAccessoai:recercat.cat:2445/85652026-05-29T05:05:01Z
dc.title.none.fl_str_mv Super-resolution of remotely sensed images with variable-pixel linear reconstruction
title Super-resolution of remotely sensed images with variable-pixel linear reconstruction
spellingShingle Super-resolution of remotely sensed images with variable-pixel linear reconstruction
Merino Espasa, María Teresa
Teledetecció
Processament d'imatges
Image reconstruction
Image resolution
Remote sensing
title_short Super-resolution of remotely sensed images with variable-pixel linear reconstruction
title_full Super-resolution of remotely sensed images with variable-pixel linear reconstruction
title_fullStr Super-resolution of remotely sensed images with variable-pixel linear reconstruction
title_full_unstemmed Super-resolution of remotely sensed images with variable-pixel linear reconstruction
title_sort Super-resolution of remotely sensed images with variable-pixel linear reconstruction
dc.creator.none.fl_str_mv Merino Espasa, María Teresa
Núñez de Murga, Jorge, 1955-
author Merino Espasa, María Teresa
author_facet Merino Espasa, María Teresa
Núñez de Murga, Jorge, 1955-
author_role author
author2 Núñez de Murga, Jorge, 1955-
author2_role author
dc.subject.none.fl_str_mv Teledetecció
Processament d'imatges
Image reconstruction
Image resolution
Remote sensing
topic Teledetecció
Processament d'imatges
Image reconstruction
Image resolution
Remote sensing
description This paper describes the development and applications of a super-resolution method, known as Super-Resolution Variable-Pixel Linear Reconstruction. The algorithm works combining different lower resolution images in order to obtain, as a result, a higher resolution image. We show that it can make significant spatial resolution improvements to satellite images of the Earth¿s surface allowing recognition of objects with size approaching the limiting spatial resolution of the lower resolution images. The algorithm is based on the Variable-Pixel Linear Reconstruction algorithm developed by Fruchter and Hook, a well-known method in astronomy but never used for Earth remote sensing purposes. The algorithm preserves photometry, can weight input images according to the statistical significance of each pixel, and removes the effect of geometric distortion on both image shape and photometry. In this paper, we describe its development for remote sensing purposes, show the usefulness of the algorithm working with images as different to the astronomical images as the remote sensing ones, and show applications to: 1) a set of simulated multispectral images obtained from a real Quickbird image; and 2) a set of multispectral real Landsat Enhanced Thematic Mapper Plus (ETM+) images. These examples show that the algorithm provides a substantial improvement in limiting spatial resolution for both simulated and real data sets without significantly altering the multispectral content of the input low-resolution images, without amplifying the noise, and with very few artifacts.
publishDate 2007
dc.date.none.fl_str_mv 2007
2009
2009
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/2445/8565
url https://hdl.handle.net/2445/8565
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a http://dx.doi.org/10.1109/TGRS.2007.893271
IEEE Transactions on Geoscience and Remote Sensing, 2007, vol. 45, núm. 5 (Part 2), p. 1446-1457.
http://dx.doi.org/10.1109/TGRS.2007.893271
dc.rights.none.fl_str_mv (c) IEEE, 2007
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) IEEE, 2007
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 12 p.
application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv Articles publicats en revistes (Física Quàntica i Astrofísica)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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