Mapping mineralogical alteration using principal‐component analysis and matched filter processing in the Takab area, north‐west Iran, from ASTER data

Identification of hydrothermal alteration minerals for exploring of porphyry copper deposit using ASTER data, SE Iran

“…PCA is a well-known Hubner, 1969b;Mars and Rowan, 2006). method for lithological and alteration mapping in metalogenic provinces (Crosta et al, 2003;Ranjbar et al, 2004;Kargi, 2007;Massironi et al, 2008;Moore et al, 2008;Tangestani et al, 2008;Amer et al, 2010). Standard PCA transformation has applied to the two full ASTER scenes of the Sarcheshmeh and Meiduk regions.…”

Identification of catchment functional units by time series of thermal remote sensing images

“…In remote sensing, PCA is often applied to reduce the number of (correlated) variables within classification procedures (see, e.g., Crósta et al, 2003;Moore et al, 2008, for the analysis of multi-spectral, single temporal TIR data to assess different geological structures).…”

Iron ore prospection East Aswan, Egypt, using remote sensing techniques

“…(2) Principal Component Analyses (PCAs) to produce uncorrelated output bands, segregate the noise components and to reduce the dimensionality of data sets in the way of showing iron ore concentrations, (3) band ratio methods have been used for exploring the iron ore rich localities separating them from the host rocks and creating an iron index map, (Crosta and Filho, 2003;Kargi, 2007;Massironi et al, 2008;Moore et al, 2008;Tangestani et al, 2008;Amer and Kusky, 2010;Pour and Hashim, 2011, 2012a,b, 2013Hashim et al, 2011). Several band ratios of ETM + and Landsat 8 have been experimented for finding the efficient ones in iron exploration.…”