The variety of spectral imaging systems makes the portability of imaging solutions and the generalization of research difficult. We advocate for the creation of a standard representation space for spectral imaging. We propose a space that allows connection to colorimetric standards and to spectral reflectance factors, while keeping a low and practical dimension. The performance of one instance of this standard is evaluated through simulations. Results demonstrate that this space may show reduced performance in accuracy than some native camera spaces, especially instances with a number of bands larger than the standardized dimension, but this limitation comes with benefit in size and standardization.
Jean-Baptiste Thomas, Pierre-Jean Lapray, Max Derhak, Ivar Farup, "Standard Representation Space for Spectral Imaging" in Color and Imaging Conference, 2023, pp 187 - 192, https://doi.org/10.2352/CIC.2023.31.1.35