Abstract: Systems and methods for processing satellite imagery include a satellite, a processor, a database of vessel position data and a computer readable storage medium. The methods process satellite imagery by fusing the imagery with information from the database to automatically identify ships. The methods include the steps of defining an Area of Interest (AOI) and Time of Interest (TOI) for the image and enlarging the AOI according to a time window that brackets the TOI and an assumed vessel maximum speed. Vessel position data from the database for all vessels within the enlarged AOI and the time window is accessed, and fused to imagery position data using Chi-Squared probability analysis. If the analysis meets predetermined probability threshold criteria, the vessel position is assigned to the satellite image to identify the vessel. Otherwise, the operator is alerted that imaged vessels do not correlate to vessel reporting data, or vice versa.

Abstract: Methods for processing overhead imagery of a vessel include the step of determining an initial classification and classification probability based on the vessel length and length-to-width ratio. Next, mutually exclusive deck features can be extracted from the image. For several embodiments, the extracted deck features that can be spherical tanks, hatches and containers that are stored on deck. The initial classification probability is then weighted using the results of the deck feature extraction step to yield a posterior classification probability for the ship image. If the posterior classification probability is above a predetermined value, the image is assigned a posterior classification. If the posterior probability is below the predetermined value, the vessel image is classified as unknown, and the gross tonnage of the vessel is calculated using the length and width of the vessel.