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dc.contributor.authorFernández-Beltrán, Rubén
dc.contributor.authorLatorre Carmona, Pedro
dc.contributor.authorPla, Filiberto
dc.date.accessioned2017-01-09T11:12:16Z
dc.date.available2017-01-09T11:12:16Z
dc.date.issued2017
dc.identifier.citationFERNANDEZ-BELTRAN, Ruben; LATORRE-CARMONA, Pedro; PLA, Filiberto. Single-frame super-resolution in remote sensing: a practical overview. International Journal of Remote Sensing, 2017, vol. 38, no 1, p. 314-354.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/165265
dc.description.abstractImage acquisition technology is improving very fast from a performance point of view. However, there are physical restrictions that can only be solved using software processing strategies. This is particularly true in the case of super resolution (SR) methodologies. SR techniques have found a fertile application field in airborne and space optical acquisition platforms. Single-frame SR methods may be advantageous for some remote-sensing platforms and acquisition time conditions. The contributions of this article are basically two: (1) to present an overview of single-frame SR methods, making a comparative analysis of their performance in different and challenging remote-sensing scenarios, and (2) to propose a new single-frame SR taxonomy, and a common validation strategy. Finally, we should emphasize that, on the one hand, this is the first time, to the best of our knowledge, that such a review and analysis of single SR methods is made in the framework of remote sensing, and, on the other hand, that the new single-frame SR taxonomy is aimed at shedding some light when classifying some types of single-frame SR methods.ca_CA
dc.description.sponsorShipThis work was supported by the Spanish Ministry of Economy under the project ESP2013 - 48458-C4-3-P, by Generalitat Valenciana through project PROMETEO-II/2014/062, and by Universitat Jaume I through project P11B2014-09.ca_CA
dc.format.extent36 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherTaylor & Francisca_CA
dc.relation.isPartOfInternational Journal of Remote Sensing, 2017, vol. 38, no 1ca_CA
dc.rightsCopyright © 2016 Taylor & Francisca_CA
dc.subjectSuper-Resolutionca_CA
dc.subjectRemote Sensingca_CA
dc.subjectImage Reconstructionca_CA
dc.subjectImage Learningca_CA
dc.subjectImage Quality Assessmentca_CA
dc.titleSingle-frame super-resolution in remote sensing: a practical overviewca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1080/01431161.2016.1264027
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://www.tandfonline.com/doi/abs/10.1080/01431161.2016.1264027ca_CA


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    Articles de publicacions periòdiques escrits per professors del Departament de Llenguatges i Sistemes Informàtics

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