Ensuring reliable maritime situational awareness is increasingly challenging due to fragmented surveillance systems and the emergence of sophisticated anomalous vessel behaviours. Conventional approaches relying on single-source data are often affected by environmental interference, communication gaps, and signal manipulation, leading to reduced reliability in safety-critical operations. To address these issues, this study proposes a multi-modal information fusion framework for heterogeneous maritime surveillance environments.......
Keywords: Multi-Modal Fusion, Maritime Surveillance, Anomaly Detection, Heterogeneous Systems, Data Integration, System Reliability
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