8 June 2012 Adaptive feature-specific spectral imaging
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We present an architecture for rapid spectral classification in spectral imaging applications. By making use of knowledge gained in prior measurements, our spectral imaging system is able to design adaptive feature-specific measurement kernels that selectively attend to the portions of a spectrum that contain useful classification information. With measurement kernels designed using a probabilistically-weighted version of principal component analysis, simulations predict an orders-of-magnitude reduction in classification error rates. We report on our latest simulation results, as well as an experimental prototype currently under construction.
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P. A. Jansen, M. J. Dunlop, D. R. Golish, M. E. Gehm, "Adaptive feature-specific spectral imaging", Proc. SPIE 8365, Compressive Sensing, 83650B (8 June 2012); doi: 10.1117/12.918856; https://doi.org/10.1117/12.918856

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