Research Group Hyperspectral Imaging
- Multisensor Hyperspectral Imaging: multisensor imaging is a technique which allows to combine data of several spectroscopic methods into a single dataset
- Algorithms for Feature Selection in Hyperspectral Imaging: high-dimensional data sets are implicitly prone to problems arising from the curse of dimensionality. One way to cope with this problem is to develop feature selection algorithms specifically tailored to the requirements of hyperspectral imaging.
- Development of new approaches in THz imaging: THz Imaging is a spectroscopic technique which exploits both time domain and spectral information.
- Development of Chemometric Algorithms for HSI: Sparsely populated data spaces require special considerations. One aspect is the combination of chemical and physical knowledge with statistical analysis (see spectral descriptors).
- Support of researchers in the field of hyperspectral imaging based on Raman, ICP/MS, IR, THz and UV/VIS spectrsocopy
B. Hufnagl, et al. Environmental Science & Technology Letters, vol. 9, no. 1, 2022, pp. 90–95
J. Weisser, et al. Water, vol. 13, no. 6, 2021, p. 841
Z. Gajarska, et al. Analytical and Bioanalytical Chemistry, vol. 413, no. 26, 2021, pp. 6581–94
B. Hufnagl, H. Lohninger. Analytical Methods, vol. 11, no. 17, 2019, pp. 2277–85
B. Hufnagl, et al. Analytical Methods, vol. 11, no. 17, 2019, pp. 2277–85
J. Ofner, et al. Scientific Reports, Springer Nature, 7 (2017), 6832, S. 1-11
H. Lohninger, J. Ofner. Spectroscopy Europe Vol. 26 No. 5 (2014), 6-1