The project will develop a new generation of miniaturized hyperspectral imagers and intelligent computational methods that will enable the use of these techniques in autonomous tasks in Earth and planetary observation. The use of the latest computational methods, smallsized hyperspectral sensors, and advanced algorithms with CubeSat platforms will significantly reduce the cost of new era space operations. The results of the study will enable new, currently unattainable findings with unprecedented spatial and temporal coverage. The objective is to enable efficient use of hyperspectral imagers in remote sensing applications that drive scientific innovations and unexpected scientific breakthroughs as well as industrial applications. The research is done at the Universities of Helsinki and Jyväskylä, the Finnish Geospatial Research Institute of the National Land Survey of Finland, and VTT Technical Research Centre of Finland.
artificial intelligence (AI)
Funding organisation or partners
Academy of Finland
University of Helsinki
University of Jyväskylä
VTT Technical Research Centre of Finland Ltd