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Efficient and Safe Identification of Minerals: Smart Real-time Methods (Kaivos)
This research aims at developing active 3-dimensional hyperspectral imaging combined with multisensor positioning.
GNSS-Finland Service project will offer signal quality information in multiple frequencies for all four Global constellations, i.e., GPS, Galileo, GLONASS and BeiDou. In addition, it will offer alert messages to Traficom in case of detection of any predefined signal anomalies. Anomalies could be among other things interference on GNSS signal. This project is the successor of the project GNSS-Finland (GNSS Signal Quality Monitoring in Finland - FinSig) that ended in June 2019.
Real-Time AI-Supported Ore Grade Evaluation for Automated
The RAGE project will develop automatic and reliable mineral detection based on AI machine learning based on active hyperspectral 3D sensing, indoor positioning, and real-time AI.
GNSS signal quality monitoring in Finland (FinSig)
FinSig will use the Finnish National GNSS network ‘FinnRef’ in first-hand monitoring of the status of GNSS signal quality over Finland. A service architecture design will be developed and demonstrated, including a list of hardware, software, inter-modular communication, and system integration needs.
Kaivos - Efficient and safe identification of minerals
Making Finland a global leader of sustainable mineral industry requires continuous improvement of expertise in mining indstry. Mineral extraction industry demands for fast, cost efficient and safe remote sensing methods. The Kaivos Project works on efficient and safe identification of minerals.
The laser spectroscopy project utilizes a supercontinuum laser source.
Pitkän kantaman aktiivinen hyperspektraalinen laserkeilaus (HSLidar)
The hyperspectral lidar (HSL) technology developed at the FGI produces non-contact spectral information in 3D.
Mobile Hyperspectral Laser Remote Sensing (MobiLaser)
The aim of this project is the development of active hyperspectral LiDAR prototype.
New techniques in active remote sensing: hyperspectral laser in environmental change detection
This project brings up novel spectroscopic and radiometric laser scanning methods to be applied in the change detection of the Boreal environment.
Using the intensity information in laser scanning
A standard lidar survey produces a point cloud consisting of the topographic information (e.g., position in x,y,z) and the intensity (I).