The Future of Hyperspectral Imaging

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