Kimmo Riihiaho

Postdoctoral Researcher
Unit
Faculty of Information Technology
Room number
Ag C412.1
Email
kimmo.a.riihiaho@jyu.fi
Mobile
+358504796641
Postal address
Mattilanniemi 2
Fields of science
113 Computer and information sciences

Publications

Publication
2020

Minimal learning machine in anomaly detection from hyperspectral images

ISPRS Congress. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. International Society for Photogrammetry and Remote Sensing.
Pölönen, Ilkka
Riihiaho, Kimmo
Hakola, Anna-Maria
Annala, Leevi
More publications from this author

Research groups

Research group

CoDAI Computational Data Analysis and Imaging

CoDAI will strengthen the university’s research excellence, create new educational opportunities, and contribute to solving global challenges by combining computational science, machine learning, and imaging technologies into one coherent effort.
Research group

Computational Data Science

Discover the future with the Computational Data Science Research Group: Harnessing the power of machine learning and advanced analytics to turn complex data into innovative solutions in spectral imaging, health science, and beyond.

Projects

MIDAS logo EU
Project

MIDAS - Microalgae Digital Applications

The MIDAS consortium develops the integration and concatenation of microalgae bioprocesses by means of sensorics and modeling.
Project

ML4DRONE - Learning techniques for autonomous drone based hyperspectral analysis of forest vegetation

Research Council of Finland