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Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion
dc.contributor.author | Fernandez-Beltran, Ruben | |
dc.contributor.author | Haut, Juan M. | |
dc.contributor.author | Paoletti, Mercedes Eugenia | |
dc.contributor.author | Plaza, Javier | |
dc.contributor.author | Plaza, Antonio | |
dc.contributor.author | Pla, Filiberto | |
dc.date.accessioned | 2018-11-13T13:12:01Z | |
dc.date.available | 2018-11-13T13:12:01Z | |
dc.date.issued | 2018-09 | |
dc.identifier.citation | FERNANDEZ-BELTRAN, Ruben, et al. Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion. IEEE Geoscience and Remote Sensing Letters, 2018, 15.9: 1347-1351. | ca_CA |
dc.identifier.uri | http://hdl.handle.net/10234/177443 | |
dc.description.abstract | Probabilistic topic models have recently shown a great potential in the remote sensing image fusion field, which is particularly helpful in land-cover categorization tasks. This letter first studies the application of probabilistic latent semantic analysis (pLSA) and latent Dirichlet allocation to remote sensing synthetic aperture radar (SAR) and multispectral imaging (MSI) unsupervised land-cover categorization. Then, a novel pLSA-based image fusion approach is presented, which pursues to uncover multimodal feature patterns from SAR and MSI data in order to effectively fuse and categorize Sentinel-1 and Sentinel-2 remotely sensed data. Experiments conducted over two different data sets reveal the advantages of the proposed approach for unsupervised land-cover categorization tasks. | ca_CA |
dc.format.extent | 4 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | IEEE | ca_CA |
dc.rights | © Copyright 2018 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | image fusion | ca_CA |
dc.subject | probabilistic latent semantic analysis | ca_CA |
dc.subject | land cover categorization | ca_CA |
dc.subject | Sentinel-1 | ca_CA |
dc.subject | Sentinel-2 | ca_CA |
dc.title | Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1109/LGRS.2018.2843886 | |
dc.relation.projectID | Generalitat Valenciana (APOSTD/2017/007) ; Spanish Ministry (FPU14/02012- FPU15/02090, ESP2016-79503-C2-2-P) ; Junta de Extremadura (GR15005). | ca_CA |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://ieeexplore.ieee.org/abstract/document/8392415 | ca_CA |
dc.type.version | info:eu-repo/semantics/submittedVersion | ca_CA |
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