AI RESEARCH
Rethinking Satellite Image Restoration for Onboard AI: A Lightweight Learning-Based Approach
arXiv CS.AI
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ArXi:2604.12807v1 Announce Type: cross Satellite image restoration aims to improve image quality by compensating for degradations (e.g., noise and blur) Experiments conducted on simulated datasets and real Pleiades-HR imagery nstrate that the proposed approach achieves competitive image quality, with a +6.9dB PSNR improvement. Evaluation on a downstream object detection task nstrates that restoration significantly improves performance, with up to +5.1% mAP.