Hyperspectral Vision Basics
Deep dive into the backgrounds of Hyperspectral Vision
Introduction
Modern industrial processes require ever-improving optical inspection for the in-process evaluati...
Sensors and spectral ranges
In order to obtain a spectral dispersion, different spectrometer concepts are used for spectral i...
Spatial resolution and working distance
The optics/lenses of most HSI systems are variable, e.g. via the industry standard C-mount. This ...
Excitation and sample motion
As with other spectral methods, hyperspectral imaging involves an interaction (absorption, reflec...
Data acquisition and preprocessing
One of the most important tasks in preparation for data acquisition is to focus the object under ...
Machine learning methods and data evaluation
If a contextualization into a larger sample (or spectra) population is required or if correlation...
Soft modeling vs. hard modeling
In contrast to the machine learning methods of the 'soft modeling' approach, there is also the 'h...