Abstract: An Automatic Identification System (AIS) transponder and method for transmitting vessel AIS data can include an onboard processor and database, a VHF AIS transceiver and cellular modem connected to the processor, and a navigation sub-system for providing position inputs to the processor. The processor can include written instructions for transmitting only single sentence AIS messages when the transponder is within RsAIS of a satellite but outside range RtAIS of a terrestrial AIS base station, and switching to the base station when the vessel is within RtAIS but outside of cellular modem range, Rcell. While transmitting to the AIS satellite or AIS base station, portions of the vessel AIS are recorded to the database as historical data. Once within Rcell, the transponder can switch to transmission via cellular modem to an AIS architecture server. Historical data can also be downloaded to complete and update the vessel AIS data profile within AIS.

Abstract: An Automatic Identification System (AIS) transponder and method for transmitting vessel AIS data can include an onboard processor and database, a VHF AIS transceiver and cellular modem connected to the processor, and a navigation sub-system for providing position inputs to the processor. The processor can include written instructions for transmitting only single sentence AIS messages when the transponder is within RsAIS of a satellite but outside range RtAIS of a terrestrial AIS base station, and switching to the base station when the vessel is within RtAIS but outside of cellular modem range, Rcell. While transmitting to the AIS satellite or AIS base station, portions of the vessel AIS are recorded to the database as historical data. Once within Rcell, the transponder can switch to transmission via cellular modem to an AIS architecture server. Historical data can also be downloaded to complete and update the vessel AIS data profile within AIS.

Abstract: A method for automatically detecting and mapping fires based on information extracted from commercial overhead EO/IR imagery, creating geo-referenced files which can be opened in most common geographic information system (GIS) software packages. The method creates a shapefile (*.shp & *.shx) and a Google Earth file (*.kmz) which contain the outlines of the areas from the image being processed with active fire in them, which types of files are typically very small compared to the size of the image file being processed. The method utilizes algorithms designed to process information contained in multi-spectral electro-optical imagery to classify pixels as ‘fire’ or ‘non-fire’. The method also has the ability to identify the approximate length, width, and area of the fires detected.

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.

Abstract: Methods for automatic detection of ships in overhead images of bodies of water are disclosed. The image is initially analyzed to determine if land is present, and the portions of the overhead image where land is present are masked and not processed further. The methods include the steps of chipping the unmasked portions of the overhead image into a series of tiles, discriminating and removing clouds from the tiles using two-dimensional Fourier transforms, and characterizing tile background noise from the water's surface. Different ship detection algorithms are used, according to the level of background noise detected. Detected ships are output into a format that is easily interpreted by the user. The formatted output can also include a confidence rating, or a calculation of the certainty that the detected object in an output file is actually a ship.