Adaptive feature-specific spectral imaging classifier (AFSSI-C)

Published

Journal Article

The AFSSI-C is a spectral imager that generates spectral classification directly, in fewer measurements than are required by traditional systems that measure the spectral datacube (which is later interpreted to make material classification). By utilizing adaptive features to constantly update conditional probabilities for the different hypotheses, the AFSSI-C avoids the overhead of directly measuring every element in the spectral datacube. The system architecture, feature design methodology, simulation results, and preliminary experimental results are given.

Duke Authors

Cited Authors

  • Dunlop, M; Poon, P; Gehm, M; Golish, D; Vera, E

Published Date

  • December 1, 2013

Published In

Volume / Issue

  • 49 /

International Standard Serial Number (ISSN)

  • 0884-5123

Citation Source

  • Scopus