Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C)

ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV === The AFSSI-C is a spectral imager that generates spectral classification directly, in fewer...

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Bibliographic Details
Main Authors: Dunlop, Matthew, Poon, Phillip
Other Authors: Gehm, Michael
Language:en_US
Published: International Foundation for Telemetering 2013
Subjects:
Online Access:http://hdl.handle.net/10150/579667
Description
Summary:ITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NV === 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.