Hyperspectral Data Processing: Algorithm Design and Analysis

22.3 Signature Discriminatory Probabilties

As noted above, the key to materialize the concept of DDA is to find a means of interpreting source alphabet probabilities used in source coding in terms of hyperspectral signatures. Let the entire hyperspectral data be considered as an information source with a set of hyperspectral signatures that correspond to source alphabets . We now interpret relative occurrence frequencies among J source alphabets, as relative spectral discriminatory powers among the n_S signatures, , then the source alphabet probabilities can be interpreted as signature discriminatory probabilities among , denoted by which can be obtained as follows.

To begin with, we select a spectral similarity measure, denoted by such as spectral angle mapper (SAM), and spectral information ...