Persistent Link:
http://hdl.handle.net/10150/579667
Title:
Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C)
Author:
Dunlop, Matthew; Poon, Phillip
Advisor:
Gehm, Michael
Affiliation:
University of Arizona
Issue Date:
2013-10
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings 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.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
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.
Keywords:
Compressive Sensing; hyperspectral imaging; spectral imager
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleAdaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C)en_US
dc.contributor.authorDunlop, Matthewen
dc.contributor.authorPoon, Phillipen
dc.contributor.advisorGehm, Michaelen_US
dc.contributor.departmentUniversity of Arizonaen
dc.date.issued2013-10en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
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
dc.publisherInternational Foundation for Telemeteringen
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.en
dc.subjectCompressive Sensingen
dc.subjecthyperspectral imagingen
dc.subjectspectral imageren
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/579667en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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