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Multi-temporal data augmentation for high frequency satellite imagery: a case study in Sentinel-1 and Sentinel-2 building and road segmentation
(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 ...
Verification system based on long-range iris and Graph Siamese Neural Networks
(ACM, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical ...
Pushing the limits of Sentinel-2 for building footprint extraction
(IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena,
Building 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 ...