2001
DOI: 10.1080/07038992.2001.10854931
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Comparison of Three Principal Component Analysis Techniques to Porphyry Copper Alteration Mapping: A Case Study, Meiduk Area, Kerman, Iran

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Cited by 103 publications
(31 citation statements)
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“…Spectral unmixing (Smith et al, 1985) is one such technique and endeavors at searching the abundances or fractions of pure spectral components, so called end members, which best explain the observed mixed pixel spectra. PCA of images has been shown to be a successful tool to minimize the vegetation effect in the resulting images Kaufman, 1988;Loughlin, 1991;Fraser, 1991;Bennett et al, 1993;Ruiz Armenta and Prol Ledesma, 1998;Tangestani and Moore, 2001). The principal components can be analyzed using the standard or selective method.…”
Section: Alteration Mappingmentioning
confidence: 99%
“…Spectral unmixing (Smith et al, 1985) is one such technique and endeavors at searching the abundances or fractions of pure spectral components, so called end members, which best explain the observed mixed pixel spectra. PCA of images has been shown to be a successful tool to minimize the vegetation effect in the resulting images Kaufman, 1988;Loughlin, 1991;Fraser, 1991;Bennett et al, 1993;Ruiz Armenta and Prol Ledesma, 1998;Tangestani and Moore, 2001). The principal components can be analyzed using the standard or selective method.…”
Section: Alteration Mappingmentioning
confidence: 99%
“…Different types of Principal Component Analysis (PCA) have been used in order to extract desired spectral signatures from remotely sensed data (Tangestani & Moore 2001). Developed Selective Principal Component Analysis (DSPCA) has been successfully proposed and applied on previous Landsat data by (Crósta & Moore 1990), thus a DSPCA was carried out in order to map Al-OH bearing altered rocks in this study.…”
Section: Resultsmentioning
confidence: 99%
“…PCA is widely used for mapping of alteration in metallogenic provinces (Abrams et al 1997;Kaufman 1988;Loughlin 1991;Bennett et al 1993;Tangestani and Moore 2001).…”
Section: Crosta Methodsmentioning
confidence: 99%