Marc Walton

Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks

In this paper, the problem of automatic nonlinear unmixing of hyperspectral reflectance data using works of art as test cases is described. We use a deep neural network to decompose a given spectrum quantitatively to the abundance values of pure pigments. We show that adding another step to identify…