Find out why real-life hyperspectral imaging needs more than hardware innovations.
Hyperspectral imaging is already widely used in well-controlled environments such as production lines or laboratories. However, its adoption in real-life settings with variable conditions, like remote sensing and precision agriculture, is only recently gaining momentum.
A big driver behind this breakthrough of out-of-the-lab applications is the development of more compact and versatile hyperspectral cameras. But that’s only part of the story. Real-life hyperspectral imaging also requires innovations on the software side.
One of the main challenges for hyperspectral imaging under varying conditions is spectral normalization. Without an accurate estimate of the light reflectance, transmission or emission of a surface, it’s impossible to follow up spectral signatures over time, reproduce measurements, combine data from multiple cameras, ... In short, to use the camera to its maximum potential.
In this virtual talk Kathleen Vunckx, R&D engineer at imec, explains how imec’s hyperspectral software contains a data-processing pipeline that enables you to acquire reliable spectral images and videos in all circumstances. In this virtual talk, you’ll learn: