Latent topic-based super-resolution for remote sensing
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Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Latent topic-based super-resolution for remote sensingDate
2017Publisher
Taylor & FrancisISSN
2150-704X; 2150-7058Bibliographic citation
Ruben Fernandez-Beltran, Pedro Latorre-Carmona & Filiberto Pla (2017) Latent topic-based super-resolution for remote sensing, Remote Sensing Letters, 8:6, 498-507Type
info:eu-repo/semantics/articlePublisher version
http://www.tandfonline.com/doi/full/10.1080/2150704X.2017.1287974Version
info:eu-repo/semantics/acceptedVersionSubject
Abstract
This letter presents a novel single-image Super-Resolution (SR)
approach based on latent topics specially designed to remote sensing
imagery. The proposed approach pursues to super-resolve topics
uncovered from ... [+]
This letter presents a novel single-image Super-Resolution (SR)
approach based on latent topics specially designed to remote sensing
imagery. The proposed approach pursues to super-resolve topics
uncovered from low-resolution images instead of super-resolving
image patches themselves. An experimental comparison is con-
ducted using nine di
ff
erent SR methods over four aerial image data-
sets. Experiments revealed the potential of latent topics in remote
sensing SR by reporting that the proposed approach is able to
provide a competitive advantage especially in low noise conditions. [-]
Is part of
Remote Sensing Letters, 2017, vol. 8, núm. 6Rights
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
"This is an Accepted Manuscript of an Article published in Remote Sensing Letters, 2017, vol. 8, núm. 6, available online at: http://www.tandfonline.com/doi/full/10.1080/2150704X.2017.1287974"
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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