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dc.contributor.authorPoon, Phillip K.
dc.contributor.authorVera, Esteban
dc.contributor.authorGehm, Michael E.
dc.date.accessioned2016-12-08T01:32:10Z
dc.date.available2016-12-08T01:32:10Z
dc.date.issued2016-05-19
dc.identifier.citationComputational hyperspectral unmixing using the AFSSI-C ", Proc. SPIE 9870, Computational Imaging, 987003 (May 19, 2016); doi:10.1117/12.2223193; http://dx.doi.org/10.1117/12.2223193en
dc.identifier.issn0277-786X
dc.identifier.doi10.1117/12.2223193
dc.identifier.urihttp://hdl.handle.net/10150/621544
dc.description.abstractWe have previously introduced a high throughput multiplexing computational spectral imaging device. The device measures scalar projections of pseudo-arbitrary spectral filters at each spatial pixel. This paper discusses simulation and initial experimental progress in performing computational spectral unmixing by taking advantage of the natural sparsity commonly found in the fractional abundances. The simulation results show a lower unmixing error compared to traditional spectral imaging devices. Initial experimental results demonstrate the ability to directly perform spectral unmixing with less error than multiplexing alone.
dc.language.isoenen
dc.publisherSPIE-INT SOC OPTICAL ENGINEERINGen
dc.relation.urlhttp://proceedings.spiedigitallibrary.org/proceeding.aspx?doi=10.1117/12.2223193en
dc.rights© 2016 SPIE.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectCompressive Sensingen
dc.subjectComputational Imagingen
dc.subjectComputational Spectroscopyen
dc.subjectSpectral Unmixingen
dc.titleComputational hyperspectral unmixing using the AFSSI-Cen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Coll Opt Scien
dc.identifier.journalCOMPUTATIONAL IMAGINGen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
dc.contributor.institutionCollege of Optical Sciences, The Univ. of Arizona (United States)
dc.contributor.institutionDuke Univ. (United States)
dc.contributor.institutionDuke Univ. (United States)
refterms.dateFOA2018-09-11T16:01:45Z
html.description.abstractWe have previously introduced a high throughput multiplexing computational spectral imaging device. The device measures scalar projections of pseudo-arbitrary spectral filters at each spatial pixel. This paper discusses simulation and initial experimental progress in performing computational spectral unmixing by taking advantage of the natural sparsity commonly found in the fractional abundances. The simulation results show a lower unmixing error compared to traditional spectral imaging devices. Initial experimental results demonstrate the ability to directly perform spectral unmixing with less error than multiplexing alone.


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