The Future of Hyperspectral Imaging

Buch | Softcover

220 Seiten

2019
MDPI (Verlag)
978-3-03921-822-6 (ISBN)

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This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells and below, could be divided into two main categories: analyzing objects on the basis of their physical dimension (recording size, position, weight, etc. and their variations) or on how the object emits, reflects, or absorbs part of the electromagnetic spectrum, i.e., spectroscopy. While the two aspects have been obviously entangled, instruments and skills have always been clearly distinct from each other. With HSI now available, this is no longer the case. This instrument can return specimen dimensionalities and spectroscopic properties to any single pixel of your specimen, in a single set of data. HSI modality is ubiquitous and scale-invariant enough to be used to mark terrestrial resources on the basis of a land map obtained from satellite observation (actually, the oldest application of this type) or to understand if the cell you are looking at is cancerous or perfectly healthy. For all these reasons, HSI represents one of the most exciting methodologies of the new millennium.

Erscheinungsdatum	29.12.2019
Verlagsort	Basel
Sprache	englisch
Maße	170 x 244 mm
Themenwelt	Naturwissenschaften ► Biologie ► Allgemeines / Lexika
Themenwelt	Naturwissenschaften ► Chemie ► Physikalische Chemie
Schlagworte	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 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
ISBN-10	3-03921-822-0 / 3039218220
ISBN-13	978-3-03921-822-6 / 9783039218226
Zustand	Neuware