The Future of Hyperspectral Imaging
dc.contributor.author | Selci, Stefano | * |
dc.date.accessioned | 2021-02-11T14:14:25Z | |
dc.date.available | 2021-02-11T14:14:25Z | |
dc.date.issued | 2019 | * |
dc.date.submitted | 2019-12-09 16:39:37 | * |
dc.identifier | 42722 | * |
dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/48235 | |
dc.language | English | * |
dc.subject | QD1-999 | * |
dc.subject | Q1-390 | * |
dc.subject | QD450-801 | * |
dc.subject.classification | thema EDItEUR::P Mathematics and Science::PN Chemistry | en_US |
dc.subject.other | information theoretic analysis | * |
dc.subject.other | multiplexing system | * |
dc.subject.other | HSI for biology | * |
dc.subject.other | point target detection | * |
dc.subject.other | digital elevation model | * |
dc.subject.other | neural networks | * |
dc.subject.other | oxygen saturation | * |
dc.subject.other | black polymers | * |
dc.subject.other | PZT | * |
dc.subject.other | blood detection | * |
dc.subject.other | multivariate analysis | * |
dc.subject.other | integral imaging | * |
dc.subject.other | hemispherical conical reflectance factor (HCRF) | * |
dc.subject.other | sprouting | * |
dc.subject.other | fluorescence | * |
dc.subject.other | multitemporal hyperspectral images | * |
dc.subject.other | plant phenotyping | * |
dc.subject.other | hyperspectral data mining and compression | * |
dc.subject.other | Raman | * |
dc.subject.other | medical imaging by HSI | * |
dc.subject.other | compressive detection | * |
dc.subject.other | stereo imaging | * |
dc.subject.other | image processing | * |
dc.subject.other | wound healing | * |
dc.subject.other | quality control | * |
dc.subject.other | lossless compression | * |
dc.subject.other | infrared hyperspectral imaging | * |
dc.subject.other | spectral tracking | * |
dc.subject.other | time series | * |
dc.subject.other | remote sensing | * |
dc.subject.other | diabetic foot ulcer | * |
dc.subject.other | classification | * |
dc.subject.other | Raman spectroscopy | * |
dc.subject.other | imaging | * |
dc.subject.other | fingerprints | * |
dc.subject.other | fusion | * |
dc.subject.other | wavelength selection | * |
dc.subject.other | Cramer–Rao lower bound | * |
dc.subject.other | three-dimensional imaging | * |
dc.subject.other | chemical imaging | * |
dc.subject.other | CS-MUSI | * |
dc.subject.other | total variation | * |
dc.subject.other | coastal dynamics | * |
dc.subject.other | forward observation model | * |
dc.subject.other | hyperspectral imaging | * |
dc.subject.other | fluorescence hyperspectral imaging | * |
dc.subject.other | age determination | * |
dc.subject.other | potatoes | * |
dc.subject.other | painting samples | * |
dc.subject.other | predictive coding | * |
dc.subject.other | hyperspectral | * |
dc.subject.other | video | * |
dc.subject.other | bi-directional reflectance distribution function (BRDF) | * |
dc.subject.other | optimal binary filters | * |
dc.subject.other | watercolours | * |
dc.subject.other | deep learning | * |
dc.subject.other | spectroscopy | * |
dc.subject.other | moving vehicle imaging | * |
dc.subject.other | sorting | * |
dc.subject.other | maximum likelihood | * |
dc.subject.other | multivariate data analysis | * |
dc.subject.other | interval partial least squares | * |
dc.subject.other | disease detection | * |
dc.subject.other | Raman hyperspectral imaging | * |
dc.subject.other | primordial leaf count | * |
dc.subject.other | machine learning | * |
dc.subject.other | spatial light modulators (SLM) | * |
dc.subject.other | Virginia Coast Reserve Long Term Ecological Research (VCR LTER) | * |
dc.subject.other | digital micromirror device (DMD) | * |
dc.subject.other | hyperspectral microscopy | * |
dc.subject.other | alternating direction method of multipliers | * |
dc.subject.other | statistical methods for HSI | * |
dc.subject.other | multiband image fusion | * |
dc.subject.other | digital light processor (DLP) | * |
dc.subject.other | linear mixture model | * |
dc.subject.other | retouching pigments | * |
dc.subject.other | liquid crystal | * |
dc.subject.other | principal component analysis | * |
dc.subject.other | Chemometrics | * |
dc.subject.other | compressive sensing | * |
dc.subject.other | PLSR | * |
dc.subject.other | Hyperspectral imaging | * |
dc.title | The Future of Hyperspectral Imaging | * |
dc.type | book | |
oapen.identifier.doi | 10.3390/books978-3-03921-823-3 | * |
oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | * |
oapen.relation.isbn | 9783039218233 | * |
oapen.relation.isbn | 9783039218226 | * |
oapen.pages | 220 | * |
oapen.edition | 1st | * |
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