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dc.contributor.authorSelci, Stefano*
dc.date.accessioned2021-02-11T14:14:25Z
dc.date.available2021-02-11T14:14:25Z
dc.date.issued2019*
dc.date.submitted2019-12-09 16:39:37*
dc.identifier42722*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/48235
dc.languageEnglish*
dc.subjectQD1-999*
dc.subjectQ1-390*
dc.subjectQD450-801*
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PN Chemistryen_US
dc.subject.otherinformation theoretic analysis*
dc.subject.othermultiplexing system*
dc.subject.otherHSI for biology*
dc.subject.otherpoint target detection*
dc.subject.otherdigital elevation model*
dc.subject.otherneural networks*
dc.subject.otheroxygen saturation*
dc.subject.otherblack polymers*
dc.subject.otherPZT*
dc.subject.otherblood detection*
dc.subject.othermultivariate analysis*
dc.subject.otherintegral imaging*
dc.subject.otherhemispherical conical reflectance factor (HCRF)*
dc.subject.othersprouting*
dc.subject.otherfluorescence*
dc.subject.othermultitemporal hyperspectral images*
dc.subject.otherplant phenotyping*
dc.subject.otherhyperspectral data mining and compression*
dc.subject.otherRaman*
dc.subject.othermedical imaging by HSI*
dc.subject.othercompressive detection*
dc.subject.otherstereo imaging*
dc.subject.otherimage processing*
dc.subject.otherwound healing*
dc.subject.otherquality control*
dc.subject.otherlossless compression*
dc.subject.otherinfrared hyperspectral imaging*
dc.subject.otherspectral tracking*
dc.subject.othertime series*
dc.subject.otherremote sensing*
dc.subject.otherdiabetic foot ulcer*
dc.subject.otherclassification*
dc.subject.otherRaman spectroscopy*
dc.subject.otherimaging*
dc.subject.otherfingerprints*
dc.subject.otherfusion*
dc.subject.otherwavelength selection*
dc.subject.otherCramer–Rao lower bound*
dc.subject.otherthree-dimensional imaging*
dc.subject.otherchemical imaging*
dc.subject.otherCS-MUSI*
dc.subject.othertotal variation*
dc.subject.othercoastal dynamics*
dc.subject.otherforward observation model*
dc.subject.otherhyperspectral imaging*
dc.subject.otherfluorescence hyperspectral imaging*
dc.subject.otherage determination*
dc.subject.otherpotatoes*
dc.subject.otherpainting samples*
dc.subject.otherpredictive coding*
dc.subject.otherhyperspectral*
dc.subject.othervideo*
dc.subject.otherbi-directional reflectance distribution function (BRDF)*
dc.subject.otheroptimal binary filters*
dc.subject.otherwatercolours*
dc.subject.otherdeep learning*
dc.subject.otherspectroscopy*
dc.subject.othermoving vehicle imaging*
dc.subject.othersorting*
dc.subject.othermaximum likelihood*
dc.subject.othermultivariate data analysis*
dc.subject.otherinterval partial least squares*
dc.subject.otherdisease detection*
dc.subject.otherRaman hyperspectral imaging*
dc.subject.otherprimordial leaf count*
dc.subject.othermachine learning*
dc.subject.otherspatial light modulators (SLM)*
dc.subject.otherVirginia Coast Reserve Long Term Ecological Research (VCR LTER)*
dc.subject.otherdigital micromirror device (DMD)*
dc.subject.otherhyperspectral microscopy*
dc.subject.otheralternating direction method of multipliers*
dc.subject.otherstatistical methods for HSI*
dc.subject.othermultiband image fusion*
dc.subject.otherdigital light processor (DLP)*
dc.subject.otherlinear mixture model*
dc.subject.otherretouching pigments*
dc.subject.otherliquid crystal*
dc.subject.otherprincipal component analysis*
dc.subject.otherChemometrics*
dc.subject.othercompressive sensing*
dc.subject.otherPLSR*
dc.subject.otherHyperspectral imaging*
dc.titleThe Future of Hyperspectral Imaging*
dc.typebook
oapen.identifier.doi10.3390/books978-3-03921-823-3*
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0*
oapen.relation.isbn9783039218233*
oapen.relation.isbn9783039218226*
oapen.pages220*
oapen.edition1st*


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