• openAccess   Deep Hashing Based on Class-Discriminated Neighborhood Embedding 

      kang, jian; Fernandez-Beltran, Ruben; Zhen, Ye; Tong, Xiaohua Institute of Electrical and Electronics Engineers (2020-09-30)
      Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ...
    • closedAccess   Innovation in geoprocessing for a Digital Earth 

      Hofer, Barbara; Granell, Carlos; Bernard, Lars Taylor & Francis (2017-12)
      Online geoprocessing, the provision and the use of spatial analysis functionality on the Web, is a powerful technological approach to fully realise the vision of a Digital Earth. The Digital Earth objectives include the ...
    • openAccess   Sentinel-3 Super-Resolution Based on Dense Multireceptive Channel Attention 

      Fernández, Rafael; Fernandez-Beltran, Ruben; kang, jian; Pla, Filiberto IEEE (2021-07-16)
      The unprecedented availability of remote sensing data from different complementary Sentinel missions provides increasing opportunities to alleviate the spatial limitations of Sentinel-3 (S3) from an intersensor perspective. ...
    • openAccess   Sentinel-3/FLEX Biophysical Product Confidence Using Sentinel-2 Land-Cover Spatial Distributions 

      Fernandez-Beltran, Ruben; Pla, Filiberto; kang, jian; Moreno, Jose; Plaza, Antonio IEEE (2021-03-11)
      The estimation of biophysical variables from remote sensing data raises important challenges in terms of the acquisition technology and its limitations. In this way, some vegetation parameters, such as chlorophyll fluorescence, ...
    • openAccess   Time-Resolved Sentinel-3 Vegetation Indices Via Inter-Sensor 3-D Convolutional Regression Networks 

      Fernandez-Beltran, Ruben; Ibáñez Fernández, Damián; kang, jian; Pla, Filiberto Institute of Electrical and Electronics Engineers (2021-09-03)
      Sentinel missions provide widespread opportunities of exploiting inter-sensor synergies to improve the operational monitoring of terrestrial photosynthetic activity and canopy structural variations using vegetation indices ...