TY  - BOOK
AU  - Selci, Stefano
TI  - The Future of Hyperspectral Imaging
KW  - 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
UR  - https://mdpi.com/books/pdfview/book/1824
ER  -