AIS Trajectory-Based Semi-SupervisedVessel Type Recognition via Entropy-Guided Adaptive Thresholding and Contrastive Feature Alignment
Accurate vessel type recognition from Auto-matic Identification System (AIS) data is critical for mar-itime traffic management, anomaly detection, and security monitoring. While AIS trajectories encode rich kinematic information, the scarcity of annotated samples poses a major bottleneck for purely supervised approache...