In order to generate receiver operating characteristic (ROC)—like curves33 for each AMF/anomaly detector pair across all nine test images, the following methodology was employed. Each anomaly detector was run across a range of anomaly detector thresholds (), where , , and . The pixels flagged as anomalous are then processed through the four AMFs. Each target in the spectral library is compared to a pixel of interest, and the target type with the largest resulting AMF score is declared given its score is above the AMF threshold (), where , , and . The thresholding implemented in this research is created by finding the range of all the AMF scores corresponding to the target type with the largest resulting AMF score and normalizing them between 0 and 1 to allow for consistency among the different AMFs within an image. When a threshold is selected, any pixel with an AMF score less than the threshold is classified as background. Analyzing each of the different detector thresholds across all four of the AMFs, while allowing to vary across its range of possible values, enumerates all combinations of and .