Listar LSI_Articles por autoría "16bb935f-0301-4d5d-9881-fe6f7e4557b9"

Mostrando ítems 1-9 de 9

    • openAccess   Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images 

      Pla, Filiberto; Parajuli, Janak; Fernandez-Beltran, Ruben; kang, jian IEEE (2022-08-15)
      Monitoring water bodies from remote sensing data is certainly an essential task to supervise the actual conditions of the available water resources for environment conservation, sustainable development, and many other ...

    • openAccess   Desarrollo de productos avanzados para la misión SEOSAT/Ingenio 

      Sabater, N.; Ruiz-Verdú, A.; Delegido, J.; Fernandez-Beltran, Ruben; Latorre Carmona, Pedro; Pla, Filiberto; González-Audícana, M.; Álvarez-Mozos, J.; Sola, I.; Villa, G.; Tejeiro, J. A.; De Miguel, E.; Jimenez, M.; Molina, S.; Moreno, J. Asociación Española de Teledetección (2016)
      SEOSAT/Ingenio es la futura misión española de observación de la Tierra en el óptico en alta resolución espacial. Mientras que los productos de imagen a Nivel 1, radiancias geo-referenciadas a nivel de sensor, se encuentran ...

    • openAccess   Endmember Extraction From Hyperspectral Imagery Based on Probabilistic Tensor Moments 

      Fernandez-Beltran, Ruben; Pla, Filiberto; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-01-13)
      This letter presents a novel hyperspectral endmember extraction approach that integrates a tensor-based decomposition scheme with a probabilistic framework in order to take advantage of both technologies when uncovering ...

    • openAccess   Latent topic-based super-resolution for remote sensing 

      Fernandez-Beltran, Ruben; Latorre Carmona, Pedro; Pla, Filiberto Taylor & Francis (2017)
      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 ...

    • openAccess   Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites 

      Ibáñez Fernández, Damián; Fernandez-Beltran, Ruben; Martínez Sotoca, José; Mollineda, Ramón A.; Moreno, Jose; Pla, Filiberto Institute of Electrical and Electronics Engineers (2020-09-24)
      The increasing availability of remote sensing data raises important challenges in terms of operational data provision and spatial coverage for conducting global studies and analyses. In this regard, existing multitemporal ...

    • openAccess   Single-frame super-resolution in remote sensing: a practical overview 

      Fernandez-Beltran, Ruben; Latorre Carmona, Pedro; Pla, Filiberto Taylor & Francis (2017)
      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 ...

    • openAccess   Sparse Multi-modal probabilistic Latent Semantic Analysis for Single-Image Super-Resolution 

      Fernandez-Beltran, Ruben; Pla, Filiberto Elsevier (2018)
      This paper presents a novel single-image super-resolution (SR) approach based on latent topics in order to take advantage of the semantics pervading the topic space when super-resolving images. Image semantics has shown ...

    • openAccess   Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing 

      Fernandez-Beltran, Ruben; Demir, Begüm; Pla, Filiberto; Plaza, Antonio Institute of Electrical and Electronics Engineers (2020-02-06)
      Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. ...

    • openAccess   W-NetPan: Double-U network for inter-sensor self-supervised pan-sharpening 

      Fernandez-Beltran, Ruben; Fernandez-Botran, Rafael; kang, jian; Pla, Filiberto Elsevier ScienceDirect (2023-02-08)
      The increasing availability of remote sensing data allows dealing with spatial-spectral limitations by means of pan-sharpening methods. However, fusing inter-sensor data poses important challenges, in terms of resolution ...