Visidyne proposes to develop an expert, neural net based, system for extrapolating satellite imagery forward in time to provide short-range forecasts of cloud cover. In Phase I Visidyne proposes to investigate the limits of the temporal extrapolation of satellite cloud imagery. For locations in a… More

Visidyne proposes to design and develop a prototype rendering system for the visualization of stochastic cloud images for use in Distributed Interactive Simulation (DIS) applications. Using numerical integrals fo 3-dimensional or volumetric cloud properites the system will determine the radiometric… More

Visidyne proposes to develop an expert, neural net based, system for classifying cloud types based on texture analysis in satellite imagery using geometric measures as network inputs. In Phase I Visidyne proposes to investigate the utility of a variety of network inputs based on the geometry and… More

One of the most challenging problems in adding realism to the battlefield environment in DIS Exercises is treatment of the dynamic physical materials and processes resulting from battlefield munitions (i.e., battlefield smoke and dust, blast and shock damage to buildings, cratering of terrain and… More

The team of Visidyne, Inc. and Space Dynamics Laboratory propose to develop an algorithm to improve the radiometric visualization of facetted vehicle models. The new algorithm will address the problem of optimizing the calculation of non-diffuse radiation reflected from curved surfaces. The… More