- Bayesian Probability soft classification procedure.
- Soft classification based on Mahalanobis typicalities.
- Dempster-Shafer Belief classification.
- Fuzzy Set Membership classification.
- Linear Spectral Unmixing with options for exhaustive search and probability-guided methods.
- Mixture Class Basic Probability calculation. Using the logic of Dempster-Shafer theory, a whole hierarchy of classes can be recognized, made up of the indistinguishable combinations of these classes.
- Dempster-Shafer Weight-of-Evidence procedure. Its primary role is in the development and revision of a knowledge base concerning a set of hypotheses.
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| | Linear spectral unmixing is available in the module UNMIX. Three options are provided: the standard unmixing method, a probability guided method, and an exhaustive search method. The latter two methods allow the user to evaluate more classes than the standard unmixing method. | |  |
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