Adaptive feature-specific spectral imaging

P. A. Jansen; M. J. Dunlop; D. R. Golish; M. E. Gehm

doi:10.1117/12.918856

8 June 2012 Adaptive feature-specific spectral imaging

P. A. Jansen, M. J. Dunlop, D. R. Golish, M. E. Gehm

Proceedings Volume 8365, Compressive Sensing; 83650B (2012) https://doi.org/10.1117/12.918856
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

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.

Citation Download Citation

P. A. Jansen, M. J. Dunlop, D. R. Golish, and M. E. Gehm "Adaptive feature-specific spectral imaging", Proc. SPIE 8365, Compressive Sensing, 83650B (8 June 2012); https://doi.org/10.1117/12.918856

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