Publications [#357695] of Michael E. Gehm

Papers Published

1. Dunlop-Gray, M; Poon, PK; Golish, D; Vera, E; Gehm, ME, Experimental demonstration of an adaptive architecture for direct spectral imaging classification., Optics express, vol. 24 no. 16 (August, 2016), pp. 18307-18321 [doi]
   (last updated on 2024/12/31)

   Abstract:
   Spectral imaging is a powerful tool for providing in situ material classification across a spatial scene. Typically, spectral imaging analyses are interested in classification, though often the classification is performed only after reconstruction of the spectral datacube. We present a computational spectral imaging system, the Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C), which yields direct classification across the spatial scene without reconstruction of the source datacube. With a dual disperser architecture and a programmable spatial light modulator, the AFSSI-C measures specific projections of the spectral datacube which are generated by an adaptive Bayesian classification and feature design framework. We experimentally demonstrate multiple order-of-magnitude improvement of classification accuracy in low signal-to-noise (SNR) environments when compared to legacy spectral imaging systems.