5 papers · 1 filter
On-Board Anomaly Detection for Efficient Marine Environmental Monitoring
Thomas Goudemant, Clotilde Szywala, Benjamin Francesconi +4
Marine ecosystems are impacted by various threats such as oil spills, algal blooms, and sediment floods, which disrupt habitats, wildlife, and human activities. Advances in satelli…
Embedded Bi-Temporal Building Damage Assessment for On-Board Data Reduction
Thomas Goudemant, Benjamin Francesconi, Marjorie Bellizzi +1
Rapid assessment of building damage after natural disasters is essential to support emergency response. Earth Observation satellites can acquire relevant imagery shortly after an e…
TriCCOT: Tri-part Convolutional Conformal Transformer for Onboard Space Object Detection
Adrien Dorise, Marjorie Bellizzi, Julia Cohen +1
Onboard object detection in Earth observation is constrained by limited computational resources and the absence of fully corrected imagery. While convolutional detectors are hardwa…
Rethinking Satellite Image Restoration for Onboard AI: A Lightweight Learning-Based Approach
Adrien Dorise, Marjorie Bellizzi, Omar Hlimi
Satellite image restoration aims to improve image quality by compensating for degradations (e.g., noise and blur) introduced by the imaging system and acquisition conditions. As a…
Explaining raw data complexity to improve satellite onboard processing
Adrien Dorise, Marjorie Bellizzi, Adrien Girard +2
With increasing processing power, deploying AI models for remote sensing directly onboard satellites is becoming feasible. However, new constraints arise, mainly when using raw, un…