To process this amount of high-dimensional data we need more sophisticated procedures for image analysis as well as efficient ways of handling the large amounts of information and visualization in an intuitive way. In this research project, a novel visualization method is developed that makes feasible the interactive inspection of the data prior to any further processing (e.g. application-dependent data reduction). Furthermore, descriptors are studied and implemented that help separation of geometry, illumination and material features. New images are captured using a specifically acquired hyperspectral camera with high spectral and spatial resolutions. These are then put to use in evaluation and improvement of existing analysis methods.