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dc.contributor.advisorGehm, Michaelen_US
dc.contributor.authorDunlop, Matthew
dc.contributor.authorPoon, Phillip
dc.date.accessioned2015-10-14T16:45:25Zen
dc.date.available2015-10-14T16:45:25Zen
dc.date.issued2013-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/579667en
dc.descriptionITC/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, NVen_US
dc.description.abstractThe 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.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectCompressive Sensingen
dc.subjecthyperspectral imagingen
dc.subjectspectral imageren
dc.titleAdaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C)en_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of Arizonaen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en_US
refterms.dateFOA2018-04-25T14:13:22Z
html.description.abstractThe 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.


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