5 papers · 1 filter
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…
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…
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…
Enhancing Maritime Situational Awareness through End-to-End Onboard Raw Data Analysis
Roberto Del Prete, Manuel Salvoldi, Domenico Barretta +5
Satellite-based onboard data processing is crucial for time-sensitive applications requiring timely and efficient rapid response. Advances in edge artificial intelligence are shift…
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…