Coastal Ocean Prediction Software

NRL has developed an automated coastal ocean prediction software system that is capable making of high-resolution water levels and currents predictions in coastal areas. The system has been tested and validated in various geographic regions and can be configured rapidly and run on either single processor or multi-processor parallel computers.

Fig. I. Examples of cloud shadow detection using the CSDI technique. Left panel: HICO image acquired over Virgin Islands on December 20, 2009 (image size: 270 x 400 pixels); (a) true color image, (b) corresponding IV image, and (c) corresponding CSDI image. Right panel: HICO image acquired over Samoa on October 2, 2010 ' (image size: 260 x 260 pixels); (d) true color image, (e) corresponding IV image and (f) corresponding CSDI image. The clouds are shown in white on both CSDI and IV images, the shadows are Cloud Shadow Detection Index (CSDI)

A cloud shadow detection technique called the Cloud Shadow Detection Index (CSDI) for optical imageries acquired over water by satellite/airborne sensors. This technique does not require any angular information (viewing or solar), or any estimation of clouds vertical heights. It is entirely based on measurements in the optical channels. This approach is for homogeneous water bodies such as deep waters where shadow detection is very challenging due to the relatively small differences in the brightness values of the shadows and neighboring sunlit or some other regions.

River Simulation Tool

NRL has developed a river simulation tool (RST) that performs automated extraction of riverine features from imagery. The extractions include water/land edge locations, water point locations, and obstacle and hazard locations. Processing within the RST also includes processing of shoreline and bathymetry data for mesh generation as well as automated configuration of an unstructured mesh of the river using image-derived data.

ADCIRC Toolset

The Naval Research Laboratory (NRL) has developed the NUMCAT™ suite of powerful, easy-to-use tools to support application of the open source ADvanced CIRCulation (ADCIRC) model. ADCIRC simulates currents, water level, storm surges, temperature, and salinity in the coastal ocean including regions of shallow shelf waters, estuaries, and rivers. The NUMCAT™ tools can be modified to support other finite element based models. The NUMCAT™ toolset is currently in use by the Naval Oceanographic Office to support prediction of coastal currents and water levels.

Metrology Workbench: 3D Measurement and Visualization of Displacement and Strain Fields

NRL has developed a metrology workbench for the measurement and visualization of displacement and strain fields in three dimensions. The NRL workbench uses two or more cameras to image a specimen and includes custom software the implements the 3D Meshless Random Grid method. A random pattern of optically distinct dots is applied on the specimen surface. This procedure greatly reduces specimen preparation time compared to other optical methods.


NRL has developed a mission-planning software tool for planning sniper/counter-sniper missions, special recon, force protection, personnel security, and sensor, camera, and mine placement. By asking, "what can I see" and "where can I be seen", the tool graphically indicates areas visible to observers at known positions in a 3D scene, as well as positions from which these observers can be seen.


NRL has developed CT-Analyst®, a tool that provides accurate, instantaneous, 3D predictions of chemical, biological, and radiological (CBR) agent transport in urban settings. In the past, more accuracy has always meant more computing and more computing means more delay. Waiting even a fraction of a minute for a simplified scenario computation can be far too long for timely situation assessment. Therefore, CT-Analyst® uses the best computations possible prepared well ahead of time and captures their salient results in a highly compressed database to be manipulated and displayed instantly.

Cognitive Simulation Tool

NRL has patented an artificial intelligence and cognitive modeling technology related to computerized network interactions using knowledge base systems. The NRL patented technology applies to a learning algorithm grounded in social science to model interactions of agents/actors from different groups or cultures.

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