Improvement of High Filed Performance and Reliability of Nb3Sn Conductor by PIT Method
Not Available Spectral Sciences, Inc. (SSI) proposes to address shortcomings in current hyperspectral target identification algorithms and their evaluation by the novel approach of coupling the target identification process to first-principles radiation transport (RT) calculations that model atmospheric effects and atmospheric compensation errors. Several new and valuable results will emerge from this R&D program, including enhanced target identification methods and algorithms and a software suite, HITS, that will provide advanced atmospheric compensation, data simulation, target identification, and algorithm testing capabilities. The proposed work will be based on several state-of-the-art UV/visible/IR RT codes developed by SSI in collaboration with AFRL. In Phase I we will analyze hyperspectral data covering the 400-2500 nm wavelength region to investigate the impact of atmospheric effects on the performance of target material spectral identification algorithms. We will identify promising algorithms that can mitigate atmospheric effects, adapt an algorithm to incorporate atmospherically-related biases and variabilities, and demonstrate improved target identification. In Phase II we will develop the HITS software suite and exercise it with a variety of real and simulated data cubes, targets, and identification algorithms.
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