University of Jyväskylä

Dissertation: 19.12 Unmixing Methods in Novel Applications of Spectral Imaging (Puupponen)

Start date: Dec 19, 2014 12:00 AM

End date: Dec 19, 2014 03:00 PM

Location: Mattilanniemi, Agora Beeta

Hannu-Heikki Puupponen. Kuvaaja: Veli-Mikko PuupponenM.Sc Hannu-Heikki Puupponen defends his doctoral dissertation in Information Technology. Opponent Adjunct Professor, FT Tuomo Kauranne (Lappeenranta University of Technology) and custos Professor Pekka Neittaanmäki (University of Jyväskylä). The event is in Finnish.

Abstract

Application areas of hyperspectral imaging have expanded tremendously during the last decade with the improved availability of high-resolution spectral cameras and less expensive, more compact high-speed computing machinery with which to process the resulting datasets. These developments have resulted in great potential in the use of more advanced algorithms and methods for processing and visualizing spectral data to derive new information concerning wide variety of targets and objects in such varied fields of application as environmental monitoring, security, forensics and medicine. The articles included contain some of the results of the studies the author has contributed to in each of these fields. The overall focus

is on the utilization of spectral unmixing methods for deriving new, useful and valuable information from the subjects examined. This both opens up avenues for further research, and potential for marketable products based on new spectral sensors and for utilization of spectral unmixing as one step in data processing and analysis.

Keywords: hyperspectral imaging, spectral unmixing, target detection, imaging spectrometry, forensics, environmental monitoring, skin abnormalities

  • Further information:

Hannu-Heikki Puupponen, hannu-heikki.s.puupponen@jyu.fi, puh. +358 40 0248062

viestintäharjoittelija Birgitta Kemppainen, tiedotus@jyu.fi, puh. +358 40 805 4483