Abstract: Systems and methods and described herein that can enable accurate forecasting of ship motions and the useful displaying of such forecasts to users. In general, the ship motion forecasting systems and methods provide users with graphical indication of ship motion forecasts in the form of operational period indicators. These operational period indicators are generated such that the ship motion forecasts under at least one motion threshold for a time period exceeding a time threshold are indicated in a first way, while ship motion forecasts not under the at least one motion threshold for the time period exceeding the time threshold are indicated in a second way, different from the first way. This can facilitate the quick determination of operational status by a user and thus allow a user to quickly ascertain when conditions are likely to be such that certain ship operations can be safely performed.

Abstract: Systems and methods for ship motion forecasting are described herein. These ship motion forecasting systems can enable accurate real-time forecasting of waves and resultant vessel motions, and the useful displaying of such forecasts to users. In general, the ship motion forecasting systems and methods provide users with useful indications of ship motion forecasts by generating scrolling graphical representations of the ship motion forecasts. For example, the systems can be implemented to display on a first window portion a plurality of graphical representations of ship motion forecasts generated over a plurality of forecast cycles, where the graphical representations of new ship motion forecasts are added as generated, and where the graphical representations of previously generated ship motion forecasts are scrolled as new ship motion forecasts are added.

Abstract: Ship motion forecasting systems and methods are described herein that can enable accurate real-time forecasting of ocean waves and resultant ship motions. Such systems and methods can be used to improve the efficiency and safety of a variety of ship operations, including the moving of cargo between ships at sea. In general, the systems and methods transmit radar signals from multiple radars, and those radar signals from the multiple radars are reflected off the surface of a body of water. The reflected radar signals are received, and radar data is generated from the received radar signals. The radar data is used to generate ocean wave components, which represent the amplitude and phase of a multitude of individual waves that together can describe the surface of the ocean. These ocean wave components are then used generate ship motion forecasts, which can then be presented to one or more users.

Abstract: Systems and methods and described herein that can enable accurate forecasting of ship motions and the useful displaying of such forecasts to users. In general, the ship motion forecasting systems and methods provide users with graphical indication of ship motion forecasts in the form of operational period indicators. These operational period indicators are generated such that the ship motion forecasts under at least one motion threshold for a time period exceeding a time threshold are indicated in a first way, while ship motion forecasts not under the at least one motion threshold for the time period exceeding the time threshold are indicated in a second way, different from the first way. This can facilitate the quick determination of operational status by a user and thus allow a user to quickly ascertain when conditions are likely to be such that certain ship operations can be safely performed.

Abstract: Ship motion forecasting systems and methods are described herein that can enable accurate real-time forecasting of ocean waves and resultant ship motions. Such systems and methods can be used to improve the efficiency and safety of a variety of ship operations, including the moving of cargo between ships at sea. In general, the systems and methods transmit radar signals from multiple radars, and those radar signals from the multiple radars are reflected off the surface of a body of water. The reflected radar signals are received, and radar data is generated from the received radar signals. The radar data is used to generate ocean wave components, which represent the amplitude and phase of a multitude of individual waves that together can describe the surface of the ocean. These ocean wave components are then used generate ship motion forecasts, which can then be presented to one or more users.

Abstract: Systems and methods for ship motion forecasting are described herein. These ship motion forecasting systems can enable accurate real-time forecasting of waves and resultant vessel motions, and the useful displaying of such forecasts to users. In general, the ship motion forecasting systems and methods provide users with useful indications of ship motion forecasts by generating scrolling graphical representations of the ship motion forecasts. For example, the systems can be implemented to display on a first window portion a plurality of graphical representations of ship motion forecasts generated over a plurality of forecast cycles, where the graphical representations of new ship motion forecasts are added as generated, and where the graphical representations of previously generated ship motion forecasts are scrolled as new ship motion forecasts are added.

Abstract: Techniques are provided for sparse array RF imaging for surveillance applications. Objects in a three dimensional (3-D) image-data-set obtained from multi-static radio frequency detection data are classified, for example, as human or non-human. One or more geometric image features are extracted from the image-data-set that support a target classification process; and the one or more objects are classified as a threat based on a parametric evaluation of the extracted geometric image features.

Abstract: Techniques are provided for sparse array RF imaging for surveillance applications. The present invention enables object image identification using a sparsely populated array of distributed radio nodes deployed and operated as a radar detection, tracking and identification application. Three-dimensional object images are formed, from which estimates of extent and shape can be extracted for objects that are detected in the vicinity of the deployed radar array. In addition, techniques are provided for the identification and/or classification of vehicles, humans and fauna through feature extraction from the formed three-dimensional images.

Abstract: Techniques are provided for sparse array RF imaging for surveillance applications. The present invention enables object image identification using a sparsely populated array of distributed radio nodes deployed and operated as a radar detection, tracking and identification application. Three-dimensional object images are formed, from which estimates of extent and shape can be extracted for objects that are detected in the vicinity of the deployed radar array. In addition, techniques are provided for the identification and/or classification of vehicles, humans and fauna through feature extraction from the formed three-dimensional images.