Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion
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Otros documentos de la autoría: Fernandez-Beltran, Ruben; Haut, Juan M.; Paoletti, Mercedes Eugenia; Plaza, Javier; Plaza, Antonio; Pla, Filiberto
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
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INVESTIGACIONMetadatos
Título
Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image FusionAutoría
Fecha de publicación
2018-09Editor
IEEECita bibliográfica
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.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/abstract/document/8392415Versión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
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 ... [+]
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. [-]
Proyecto de investigación
Generalitat Valenciana (APOSTD/2017/007) ; Spanish Ministry (FPU14/02012- FPU15/02090, ESP2016-79503-C2-2-P) ; Junta de Extremadura (GR15005).Derechos de acceso
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