3 papers
cs.CV2026
A Deep Learning Iterative Framework for Sentinel-1 Stripmap Enhancement Based on Azimuth Doppler Decomposition
Juan Francisco Amieva, Christian Ayala, Roberto Del Prete +1
Synthetic Aperture Radar (SAR) imagery enables all-weather, day-and-night Earth observation; however, it remains difficult to interpret due to speckle noise and other intrinsic ima…
eess.IV2026
Learning to Focus Synthetic Aperture Radar On-line with State-Space Models
Sebastian Fieldhouse, Roberto Del Prete, Gabriele Daga +3
Conventional focusing methods for Synthetic Aperture Radar (SAR) employ block processing efficiently but remain latency-heavy processes that prevent the realisation of a closed-loo…
cs.CV2023
Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence
Gabriele Meoni, Roberto Del Prete, Federico Serva +3
Nowadays, there is growing interest in applying Artificial Intelligence (AI) on board Earth Observation (EO) satellites for time-critical applications, such as natural disaster res…