The relevant information in many vision applications is encoded into the color of the scenery. This information in normal color cameras is extracted based on the three standard color channels; red, green and blue (RGB), respectively. This color reproduction technique is an approximation and it is often insufficient to reliably solve a given machine vision problem. Hyperspectral imaging overcomes this limitation by providing a greater number of spectral bands, while maintaining an adequate spatial resolution.
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