Alteration mineral discrimination is important for natural resources exploration. Spectral patternanalysis is useful for altered mineral discrimination. This analysis is composed of Gray Scale Log Residual (GSLR) method and Spectral Pattern Index (SPI). These technique have the advantage that the processed results can be easily interpreted by a geologist for the purpose of altered mineral discrimination.
The simulation for mineral separation was proccessed with spectral library (NASA/JPL) and ASTER simulation data from AVIRIS data of Cuprite, Nevada, using spectral pattern analysis. Mineral discrimination of ASTER data was discussed using degree of separation as standard.
SPI image using SWIR Bands of ASTER simulation data successfully showed each mineral alteration zone in hydrothermally altered area. Adequate band combinations and threshold of separation standard can be showed.