Скачать или смотреть Tutorial Spectral and Spatial Preprocessing with CytoSpec

Preprocessing has been identified as an indispensable part of hyperspectral data analysis. It involves, among others, outlier rejection, normalization, filtering, detrending, transformation, folding and feature selection. Goals of spectral and spatial preprocessing include better interpretability of the spectra and images, higher robustness and improved accuracy of subsequent quantitative or classification analysis.

This video provides a general introduction into spectral and spatial preprocessing of hyperspectral images (HSI) using CytoSpec. For this purpose mid-infrared HSI are quality tested and examples of automated preprocessing of HSI data sets are provided.

If you are interested in learning more about spectral and spatial preprocessing with CytoSpec, see
https://www.cytospec.com/specpreproc.... and
https://www.cytospec.com/spatpreproc....

General information about the software used can be found at the CytoSpec website:
https://www.cytospec.com/ftir.php#top