Method for extracting porphyry copper typical altered zone mineral information based on ASTER satellite data

Abstract

The invention relates to a method for extracting porphyry copper typical altered zone mineral information based on ASTER satellite data, in particular to a method for extracting argillization and phyllite-like altered zone mineral combined information. The method comprises the following steps of: firstly, reading in ASTER data; secondly, analyzing and controlling data quality; thirdly, pre-processing the data; fourthly, constructing a 4-waveband (B1, B4, B6 and B7) main component analysis model to acquire a feature vector matrix; and fifthly, analyzing a feature vector to determine a main component where the mineral information is positioned. The method is concise, practical and strong in operability and can be used for extracting copper typical altered zone argillization and phyllite-like altered zone mineral combined information in a semiquantitative way. In addition, the used ASTER satellite data covers over 90 percent of global land, have popularization and application values for global porphyry copper ore metallogenic belts (zones), and can be used for providing important direct indication information for searching the mineral products.

Description

technical field [0001] The invention relates to a method for extracting mineral information of a typical alteration zone of porphyry copper based on ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) satellite data, in particular to a method based on ASTER satellite data The mineral assemblage information extraction method of argillaceous-phyllite-like alteration zones in porphyry copper deposits belongs to remote sensing geological technology and is suitable for semi-quantitative identification of argillaceous-phyllite-like alteration zones in typical alteration zones of porphyry copper deposits using ASTER satellite data. Mineral assemblages of enicitized alteration zones. Background technique [0002] ASTER satellite data is multispectral data between traditional TM (Thematic Mapper) / ETM+ (Enhanced Thematic Mapper Plus, enhanced Thematic Mapper Plus) and other multispectral data and hyperspectral data. There are also foreign countries Experts call thi...

AI Technical Summary

Problems solved by technology

The identification of minerals with hyperspectral data can achieve quantitative identification of single minerals or mineral combinations. However, there is currently no data source suitable for mineral alteration related to geological and mineral resources in orbit; the information extraction of altered minerals at this stage is carried out in TM / ETM+ and ASTER data are the data sources. The former has relatively mature methods for extracting iron staining and hydroxyl anomaly information. ASTER data contains 3 visible light (0.52-0.86um), 6 short-wave infrared (1.60-2.43um) and 5 thermal Infrared (8.125-11.65um) has a total of 14 bands, which can extract more subtle alteration minerals and combination information. Relevant experts at home and abroad have carried out a large number of targeted research and applications. At present, the main research and construction include Fe 3+ Ions, Al-OH groups, CO 3 2 Method for Extracting Mineral-like Information of Ion Groups and Mg-OH Groups

However, there is no technical method for extracting information about typical alteration zones of a specific metallogenic type

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