Hyperspectral camera calibration (2017–)
Each pixel of a typical digital color photograph contains the intensity levels of three color channels (red, green, and blue). By contrast, each pixel of a hyperspectral image contains data of several narrow wavelength channels across the electromagnetic spectrum. This enables more information to be extracted from images, which is why hyperspectral cameras can be used in several applications, such as mapping of forests, monitoring of the health of crops, and identifying different types of minerals. Many of the application require precise radiometric calibration of the hyperspectral cameras, which can be difficult due to the complexity of these instruments.
Characterising uniformity of hyperspectral cameras
The sensitivity of a camera depends on the angle of the light incident on the system. For accurate radiometric measurements, the nonuniformity of hyperspectral cameras needs to be corrected. Metrology Research Institute has constructed a system to perform this flat-field correction. The system enables different correction geometries to be used and compared. This is useful when estimating the uncertainty related to the flatfield correction and the radiometric measurements in general.
Contact person: Alexander Kokka and Tomi Pulli
More information about the project can be found at the project website: