TOPIC PILLAR / MARITIME INTELLIGENCE
Maritime Intelligence & Ocean Surveillance
Building maritime domain awareness requires inferring intent and behavior under severe observation constraints. Rather than treating missing signals as proof of absence, our work treats dark shipping, transshipment meetings, anchorage waiting, and port congestion as behavior inference problems. We combine multimodal observations (AIS telemetry, satellite synthetic aperture radar, electro-optical imagery, and behavioral world models) to quantify uncertainty and deliver actionable operational intelligence for defense and civil maritime agencies.
Articles & Technical Notes
Dark shipping: absence of AIS is evidence, not a verdict
How to assess missing vessel signals using reception coverage, satellite observations, identity checks and explicit uncertainty.
Why a 99% maritime anomaly score may tell you very little
A practical evaluation checklist for AIS anomaly models: label provenance, synthetic events, shared test sets, leakage, class definitions and independent evidence.
Prediction is not intervention: a causal view of port-call optimisation
Why port-call optimisation should move from ETA prediction to causal intervention modelling over vessel, berth, weather, cargo and stakeholder decisions.
Transshipment detection should model an interaction, not two nearby tracks
From proximity thresholds to probabilistic interaction modelling for fishing-vessel and carrier encounters.
What Does Port Congestion Actually Measure?
Why congestion should be modelled through service backlog, effective capacity and operational constraints rather than as a count of ships inside an anchorage.
Loitering, waiting and anchorage are different states
Why maritime loitering detection should distinguish anchorage, operational waiting, drifting and anomalous local motion before training a classifier.
Anchorage detection is a behaviour-inference problem
Why anchorage detection should be framed as latent-state inference over imperfect AIS rather than as a speed threshold inside a polygon.
Maritime sensing is an observability problem: AIS, EO, SAR and RF
What vessel broadcasts, satellite images and radio detections can establish, how to combine them, and where uncertainty remains.