ENHANCING THE INTERPRETABILITY OF TERAHERTZ DATA THROUGH UNSUPERVISED CLASSIFICATION |
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| Henrike Stephani, Michael Herrmann, Karin Wiesauer, Stefan Katletz, Bettina Heise |
- Abstract:
- We present the applicability of hierarchical agglomerative cluster algorithms to terahertz (THz) spectroscopic analysis. We show the influence of different windowing and filtering methods in the spectral data pre-processing to enhance the clustering results. Two distance measures are compared. Classical Euclidean distance on the full frequency range and a distance working only on the minima of the spectra. We further show the adaptability of our clustering methods for THz hyper-spectral image classification and visualization.
- Keywords:
- clustering, THz Spectroscopy, THz Imaging
- Download:
- IMEKO-WC-2009-TC21-637.pdf
- DOI:
- -
- Event details
- Event name:
- XIX IMEKO World Congress
- Title:
Fundamental and Applied Metrology
- Place:
- Lisbon, PORTUGAL
- Time:
- 06 September 2009 - 11 September 2009