14. A system for determining a presence of a material from a hyperspectral image, the system comprising: one or more processors; a memory; a library of spectral signatures including one or more spectral signatures corresponding to a material; a receiver configured to receive a first spectral signature corresponding to a region of interest (ROI) contained in the hyperspectral image; a model generator configured to: create a model search space including two or more models, wherein each of the two or more models corresponds to a subset of spectral signatures in a library, and create, for each of the two or more models, a model spectral signature based on the corresponding subset of spectral signatures in the library, wherein each of the model spectral signatures approximates the first spectral signature; and a material identifier configured to: calculate a cumulative probability of the first spectral signature indicating a presence of a material within the ROI, wherein the cumulative probability is based on a sum of similarity probabilities of models that contain the material as an element, and determine the presence of the material in the ROI based on the cumulative probability.
14. A system for determining a presence of a material from a hyperspectral image, the system comprising: one or more processors; a memory; a library of spectral signatures including one or more spectral signatures corresponding to a material; a receiver configured to receive a first spectral signature corresponding to a region of interest (ROI) contained in the hyperspectral image; a model generator configured to: create a model search space including two or more models, wherein each of the two or more models corresponds to a subset of spectral signatures in a library, and create, for each of the two or more models, a model spectral signature based on the corresponding subset of spectral signatures in the library, wherein each of the model spectral signatures approximates the first spectral signature; and a material identifier configured to: calculate a cumulative probability of the first spectral signature indicating a presence of a material within the ROI, wherein the cumulative probability is based on a sum of similarity probabilities of models that contain the material as an element, and determine the presence of the material in the ROI based on the cumulative probability. 15. The system of claim 14 , further comprising a probability determiner configured to: calculate an amount of unknown material for the model search space; and calculate the similarity probabilities for each of the model spectral signatures using the amount of unknown material as an additional term.