Spectral analysis methods available to geologic remote sensing are reviewed.
The processing methods are categorized into knowledge-based and data-driven approach.
Using a case study, the effectiveness of processing techniques are demonstrated.
Hybridization of the two approaches is shown to yield robust processing algorithm.