How spectral imaging works

Normal cameras can see 3 bands of colors within the visible spectrum: red, green and blue. Instead of just these three colors, multi- and hyperspectral imagery uses sensors that measure the entire spectrum of light in the visible, but moreover also in the non-visible spectrum for each pixel in an image. The entire spectrum is then divided into 100+ color bands.

Each band is analyzed and used to make a multi-spectral colored dataset in the shape of a cube that contains three dimensions of information about a subject: 2 dimensions of spatial information and a 3rd dimension of spectral information. By analyzing all colors of the spectrum in each pixel, we can obtain the unique spectral ‘fingerprint’ of an object. These fingerprints deliver very detailed information about the state and constitution of the imaged object.


Take a look at our projects to see how we put spectral imaging in practice.