AI RESEARCH
SDF-Net: Structure-Aware Disentangled Feature Learning for Opticall-SAR Ship Re-identification
arXiv CS.CV
•
ArXi:2603.12588v1 Announce Type: new Cross-modal ship re-identification (ReID) between optical and synthetic aperture radar (SAR) imagery is fundamentally challenged by the severe radiometric discrepancy between passive optical imaging and coherent active radar sensing. While existing approaches primarily rely on statistical distribution alignment or semantic matching, they often overlook a critical physical prior: ships are rigid objects whose geometric structures remain stable across sensing modalities, whereas texture appearance is highly modality-dependent.