Now showing items 1-3 of 3

    • Additional feature layers from ordered aggregations for deep neural networks 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In the last years we have seen huge advancements in the area of Machine Learning, specially with the use of Deep Neural Networks. One of the most relevant examples is in image classification, where convolutional neural ...
    • Learning super-resolution for Sentinel-2 images with real ground truth data from a reference satellite 

      Galar Idoate, Mikel Upna Orcid; Sesma Redín, Rubén; Ayala Lauroba, Christian; Albizua, Lourdes; Aranda, C. (Copernicus, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Copernicus program via its Sentinel missions is making earth observation more accessible and affordable for everybody. Sentinel-2 images provide multi-spectral information every 5 days for each location. However, the maximum ...
    • Super-resolution for Sentinel-2 images 

      Galar Idoate, Mikel Upna Orcid; Sesma Redín, Rubén; Ayala Lauroba, Christian; Aranda, C. (International Society for Photogrammetry and Remote Sensing, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Obtaining Sentinel-2 imagery of higher spatial resolution than the native bands while ensuring that output imagery preserves the original radiometry has become a key issue since the deployment of Sentinel-2 satellites. ...