Listar por autor "Aranda, Carlos"
Mostrando ítems 1-7 de 7
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A deep learning approach to an enhanced building footprint and road detection in high-resolution satellite imagery
Ayala Lauroba, Christian; Sesma Redín, Rubén ; Aranda, Carlos; Galar Idoate, Mikel (MDPI, 2021) Artículo / ArtikuluaThe detection of building footprints and road networks has many useful applications including the monitoring of urban development, real-time navigation, etc. Taking into account that a great deal of human attention is ... -
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 ekarpenaCopernicus 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-class strategies for joint building footprint and road detection in remote sensing
Building footprints and road networks are important inputs for a great deal of services. For instance, building maps are useful for urban planning, whereas road maps are essential for disaster response services. Traditionally, ... -
Pushing the limits of Sentinel-2 for building footprint extraction
Ayala Lauroba, Christian; Aranda, Carlos; Galar Idoate, Mikel (IEEE, 2022) Contribución a congreso / Biltzarrerako ekarpenaBuilding footprint maps are of high importance nowadays since a wide range of services relies on them to work. However, activities to keep these maps up-to-date are costly and time-consuming due to the great deal of human ... -
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 ekarpenaObtaining 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. ... -
Super-resolution of Sentinel-2 images using convolutional neural networks and real ground truth data
Galar Idoate, Mikel ; Sesma Redín, Rubén ; Ayala Lauroba, Christian; Albizua, Lourdes; Aranda, Carlos (MDPI, 2020) Artículo / ArtikuluaEarth observation data is becoming more accessible and affordable thanks to the Copernicus programme and its Sentinel missions. Every location worldwide can be freely monitored approximately every 5 days using the ... -
Towards fine-grained road maps extraction using sentinel-2 imagery
Ayala Lauroba, Christian; Aranda, Carlos; Galar Idoate, Mikel (Copernicus, 2021) Contribución a congreso / Biltzarrerako ekarpenaNowadays, 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 ...