Hyperspectral Feature Processing

This module takes as input hyperspectral data with wavelengths, and allows for a standard set of feature definitions to be calculated. Currently this includes mica, smectite, kaolin, chlorine, epidote and ferrous iron. Once a product is selected, the details of the various datasets which make up the calculation are shown on a table, including feature name, filter, threshold and description. The user is able to alter the respective dataset threshold.

Options

References

Haest, M. Cudahy, T., Laukamp, C., and Gregory S., (2012) ‘Quantitative mineralogy from infrared spectroscopic data. I. Validation of mineral abundance and composition scripts at the rocklea channel iron deposit in Western Australia’, Economic Geology, 107(2), pp. 209–228. doi: 10.2113/econgeo.107.2.209.