Single-frame super-resolution in remote sensing: a practical overview
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Otros documentos de la autoría: Fernandez-Beltran, Ruben; Latorre Carmona, Pedro; Pla, Filiberto
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Single-frame super-resolution in remote sensing: a practical overviewFecha de publicación
2017Editor
Taylor & FrancisCita bibliográfica
FERNANDEZ-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.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.tandfonline.com/doi/abs/10.1080/01431161.2016.1264027Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Image 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 ... [+]
Image 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. [-]
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International Journal of Remote Sensing, 2017, vol. 38, no 1Derechos de acceso
Copyright © 2016 Taylor & Francis
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