8 June 2012 Adaptive feature-specific spectral imaging
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
6 PAGES


SHARE
Back to Top