Ilkka Pölönen
Contact search available for JYU staff members. Web page: https://www.jyu.fi/en/spectral-imaging-laboratory ORCID link: https://orcid.org/0000-0002-5129-7364 |
General description
Associate professor of computational data analysis
Current teaching:
- Computer vision and image analysis
- Anomaly detection
- Machine learning for cyber security
Head of Spectral Imaging Laboratory.
Active JYU affiliations
- Faculty of Information Technology, Associate Professor
Research interests
Research includes computational methods, which can be used in spectral image analysis. Various applications can be found from remote sensing, medicine, biology, and even in art history. In practice methods are used by researchers, clinicians or farmers.
Fields of science
Follow-up groups
Personal keywords
Computational data analysis, computer science, applied mathematics, machine learning, spectral imaging
Projects as Principal investigator
1 of 2
- Learning techniques for drone based hyperspectral analysis of forest vegetation
- Research Council of Finland
- Analysis of problems with incompletely known data by analytical and machine learning methods
- Research Council of Finland
- Unmanned aerial systems based solutions for real-time management of wildfires
- Research Council of Finland
- aiADDVA - Adding value by Artificial Intelligence
- Centre for Economic Development, Transport and the Environment of Central Finland
- Smart hyperspectral imaging solutions for new era in Earth and planetary observations
- Research Council of Finland
- Autonomous tree health analyzer based on imaging UAV spectrometry
- Research Council of Finland
- SPECTRAL IMAGING OF COMPLEX SURFACE TOMOGRAPHIES
- Research Council of Finland
- Spline and spline wavelet methods for noise reduction and restoration of hyperspectral images
- Research Council of Finland
- Subwavelength imaging
- Jane and Aatos Erkko Foundation
- ISPRS Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions (SPEC3D) Workshop
- Participants (conferences, training)
Projects as Team Member
- Robust Algae Systems
- Salmi, Pauliina
- Business Finland
- iADDVA - Adding Value by Creative Industry Platform kehittämishanke
- Sajavaara, Timo
- Council of Tampere Region
Publications and other outputs
1 of 7
Author of research datasets
- Assessment of microalgae species, biomass and distribution from spectral images using a convolution neural network (2021) Salmi, Pauliina; et al.
- Lipid monitoring of Chlorella vulgaris using non-invasive near-infrared spectral imaging ; Pääkkönen, Salli; et al.
- Non-invasive monitoring of microalgae cultivations in laboratory scale using hyperspectral imager (2022) Pääkkönen, Salli; et al.
