Listar Comunicaciones y ponencias de congresos - Biltzarrak eta Argitalpenak por tema "Deep learning"
Mostrando ítems 1-5 de 5
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Additional feature layers from ordered aggregations for deep neural networks
Domínguez Catena, Iris
; Paternain Dallo, Daniel ; Galar Idoate, Mikel (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena 
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 ; Sesma Redín, Rubén ; Ayala Lauroba, Christian; Albizua, Lourdes; Aranda, Carlos (Copernicus, 2020)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
Multi-temporal data augmentation for high frequency satellite imagery: a case study in Sentinel-1 and Sentinel-2 building and road segmentation
Ayala Lauroba, Christian; Aranda Magallón, Coral; Galar Idoate, Mikel (ISPRS, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Semantic segmentation of remote sensing images has many practical applications such as urban planning or disaster assessment. Deep learning-based approaches have shown their usefulness in automatically segmenting large ... -
Super-resolution for Sentinel-2 images
Galar Idoate, Mikel ; Sesma Redín, Rubén ; Ayala Lauroba, Christian; Aranda, Carlos (International Society for Photogrammetry and Remote Sensing, 2019)
Contribución a congreso / Biltzarrerako ekarpena
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. ... -
Towards fine-grained road maps extraction using sentinel-2 imagery
Ayala Lauroba, Christian; Aranda, Carlos; Galar Idoate, Mikel (Copernicus, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Nowadays, it is highly important to keep road maps up-to-date since a great deal of services rely on them. However, to date, these labours have demanded a great deal of human attention due to their complexity. In the last ...
