Torch proposes the development of an efficient, high fidelity approach for the development of terrain models suitable for use in high fidelity electro-optical and infrared scene rendering applications and simulations. Torch will decrease developmental complexity and timelines through the development of characterization, artifact rectification, discrete and scene element development algorithms to achieve the efficient development of ground plane models, clutter classification models, models of discrete elements. Development will be in a two-fold manner. First, a Taylor series approach to algorithm development will be employed whereby most significant contributions are modeled with the greatest fidelity, while elements of lesser import receive less attention. Second, the algorithms will be developed for highly parallel execution in order to exploit implementation on modern computational hardware. This approach integrates directly with source data providers, directly into current thermal simulations and scene generators, while providing a path for increased fidelity and capability in these tools.
Keywords: Ir, Scene Generator, Terrain Model, Dem, Dsm, Material Classification, Clutter Classification, Discrete Model, Thermal Model, Electro-Optical, Infrared, Synthetic Scenes, Phys
