2 papers
cs.CV2026
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…
cs.CV2025
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows
Julien Posso, Hugo Kieffer, Nicolas Menga +6
This study introduces a lightweight U-Net model optimized for real-time semantic segmentation of aerial images, targeting the efficient utilization of Commercial Off-The-Shelf (COT…