The image analysis functionality of Evince provides the user with an in-depth analysis of hyperspectral images consisting of many pixels and measured channels at the same time. Important functionality in Evince can be found here:

- Import of image files
- Converting to spectral units
- PCA and PLS modeling on unfolded images
- Image analysis visualizations

The following help sections show information about central image processing in Evince:

- Visualization of Raw Image Data
- Classification, Clustering and Training/Test Set Selection using PCA
- Segmentation and removal of image areas
- Classification and quantification of image content using PLS-DA
- Selection and classification using Spectral Angle Mapper

A 64-bit operating system is preferable for analyzing hyperspectral data in Evince. Please see Appendix III for information about running Evince in 64-bit mode.