Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/Mars express

Detecting minerals on a huge hyperspectral dataset (> To) is a difficult task that we proposed to address using linear unmixing techniques. We test different algorithms with positivity constrains on a typical Martian hyperspectral image of the Syrtis Major volcanic complex. The usefulness of additional constrains, such as sparsity and sum-to-one constrains are discussed. We compare the results with a supervised detection technique based on band ratio.