7 papers
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…
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…
Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
Parampuneet Kaur Thind, Vaibhav Katturu, Giacomo Zema +1
Designing deep networks that meet strict latency and accuracy constraints on edge accelerators increasingly relies on hardware-aware optimization, including neural architecture sea…
Thermal Anomaly Detection using Physics Aware Neuromorphic Networks: Comparison between Raw and L1C Sentinel-2 Data
Stephen Smith, Cormac Purcell, Gabriele Meoni +2
Damage caused by bushfires and volcanic eruptions escalates rapidly when detection is delayed, making fast and reliable early warning capabilities essential. Recent Earth Observati…
First On-Orbit Demonstration of a Geospatial Foundation Model
Andrew Du, Roberto Del Prete, Alejandro Mousist +6
Geospatial foundation models (GeoFMs) promise broad generalisation capacity for Earth observation (EO) tasks, particularly under data-limited conditions. However, their large size…
Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands
Eva Gmelich Meijling, Roberto Del Prete, Arnoud Visser
Accurate wetland land-cover classification is essential for environmental monitoring, biodiversity assessment, and sustainable ecosystem management. However, the scarcity of annota…