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.
|Journal||Proceedings of the International Telemetering Conference|
|State||Published - 1 Dec 2013|
|Event||ITC/USA 2013: 49th Annual International Telemetering Conference and Technical Exhibition - Meeting all the Challenges of Telemetry, 2013 - Las Vegas,NV, United States|
Duration: 21 Oct 2013 → 24 Oct 2013
- Compressive sensing
- Hyperspectral imaging
- Spectral imager