The Future of Hyperspectral Imaging

The Future of Hyperspectral Imaging

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Bibliographic Details
Main Author:	Selci, Stefano (auth)
Format:	Book Chapter
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2019
Subjects:	information theoretic analysis multiplexing system HSI for biology point target detection digital elevation model neural networks oxygen saturation black polymers PZT blood detection multivariate analysis integral imaging hemispherical conical reflectance factor (HCRF) sprouting fluorescence multitemporal hyperspectral images plant phenotyping hyperspectral data mining and compression Raman medical imaging by HSI compressive detection stereo imaging image processing wound healing quality control lossless compression infrared hyperspectral imaging spectral tracking time series remote sensing diabetic foot ulcer classification Raman spectroscopy imaging fingerprints fusion wavelength selection Cramer-Rao lower bound three-dimensional imaging chemical imaging CS-MUSI total variation coastal dynamics forward observation model hyperspectral imaging fluorescence hyperspectral imaging age determination potatoes painting samples predictive coding hyperspectral video bi-directional reflectance distribution function (BRDF) optimal binary filters watercolours deep learning spectroscopy moving vehicle imaging sorting maximum likelihood multivariate data analysis interval partial least squares disease detection Raman hyperspectral imaging primordial leaf count machine learning spatial light modulators (SLM) Virginia Coast Reserve Long Term Ecological Research (VCR LTER) digital micromirror device (DMD) hyperspectral microscopy alternating direction method of multipliers statistical methods for HSI multiband image fusion digital light processor (DLP) linear mixture model retouching pigments liquid crystal principal component analysis Chemometrics compressive sensing PLSR Hyperspectral imaging
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Description
Physical Description:	1 electronic resource (220 p.)
ISBN:	books978-3-03921-823-3 9783039218233 9783039218226
Access:	Open Access