The Future of Hyperspectral Imaging

• Autore: Selci Stefano
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (220 p.)
• Soggetto non controllato: 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
• Titolo autorizzato: The Future of Hyperspectral Imaging
• ISBN: 3-03921-823-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910367743103321
• Lo trovi qui: Univ. Federico II