3 papers
eess.IV2026
Hardware-Aware Deployment of Joint SAR Compression and Despeckling on FPGA
Cédric Léonard, Francescopaolo Sica, Martin Schulz
Next-generation Synthetic Aperture Radar (SAR) missions will generate data far faster than they can downlink, making onboard data reduction essential for near-real-time Earth obser…
eess.SP2026
Beyond Backscatter: InSAR coherence from detected SAR images
Francescopaolo Sica, Andrea Pulella, Michael Schmitt
In this work, we propose a deep learning framework for coherence regression directly from detected SAR images, without the need for accurate coregistration. A Residual U-Net is tra…
cs.CV2026
Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery
Islam Mansour, Francescopaolo Sica, Michael Schmitt
Synthetic Aperture Radar (SAR) plays a critical role in maritime surveillance, yet deep learning for SAR analysis is limited by the lack of pixel-level annotations. This paper expl…