The Experts below are selected from a list of 7455 Experts worldwide ranked by ideXlab platform
Lawrence C Rowan - One of the best experts on this subject based on the ideXlab platform.
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aster spectral analysis and lithologic mapping of the khanneshin carbonatite volcano afghanistan
Geosphere, 2011Co-Authors: John C Mars, Lawrence C RowanAbstract:Advanced Spaceborne Thermal and Reflection Radiometer (ASTER) data of the early Quaternary Khanneshin carbonatite volcano located in southern Afghanistan were used to identify carbonate rocks within the volcano and to distinguish them from Neogene ferruginous polymict sandstone and argillite. The carbonatitic rocks are characterized by diagnostic CO3 absorption near 11.2 μm and 2.31–2.33 μm, whereas the sandstone, argillite, and adjacent alluvial deposits exhibit intense Si-O absorption near 8.7 μm caused mainly by quartz and Al-OH absorption near 2.20 μm due to muscovite and illite. Calcitic carbonatite was distinguished from ankeritic carbonatite in the short wave infrared (SWIR) region of the ASTER data due to a slight shift of the CO3 absorption feature toward 2.26 μm (ASTER band 7) in the ankeritic carbonatite spectra. Spectral assessment using ASTER SWIR data suggests that the area is covered by extensive carbonatite flows that contain calcite, ankerite, and muscovite, though some areas mapped as ankeritic carbonatite on a preexisting geologic map were not identified in the ASTER data. A contact aureole shown on the geologic map was defined using an ASTER false color composite image (R = 6, G = 3, B = 1) and a Logical Operator byte image. The contact aureole rocks exhibit Fe2+, Al-OH, and Fe, Mg-OH spectral absorption features at 1.65, 2.2, and 2.33 μm, respectively, which suggest that the contact aureole rocks contain muscovite, epidote, and chlorite. The contact aureole rocks were mapped using an Interactive Data Language (IDL) Logical Operator. A visible through short wave infrared (VNIR-SWIR) mineral and rock-type map based on matched filter, band ratio, and Logical Operator analysis illustrates: (1) laterally extensive calcitic carbonatite that covers most of the crater and areas northeast of the crater; (2) ankeritic carbonatite located southeast and north of the crater and some small deposits located within the crater; (3) agglomerate that primarily covers the inside rim of the crater and a small area west of the crater; (4) a crater rim that consists mostly of epidote-chlorite-muscovite–rich metamorphosed argillite and sandstone; and (5) iron (Fe3+) and muscovite-illite–rich rocks and iron-rich eolian sands surrounding the western part of the volcano. The thermal infrared (TIR) rock-type map illustrates laterally extensive carbonatitic and mafic rocks surrounded by quartz-rich eolian and fluvial reworked sediments. In addition, the combination of VNIR, SWIR, and TIR data complement one another in that the TIR data illustrate more laterally extensive rock types and the VNIR-SWIR data distinguish more specific varieties of rocks and mineral mixtures.
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regional mapping of phyllic and argillic altered rocks in the zagros magmatic arc iran using advanced spaceborne thermal emission and reflection radiometer aster data and Logical Operator algorithms
Geosphere, 2006Co-Authors: John C Mars, Lawrence C RowanAbstract:Geosphere, May 2006, v. 2, p. 161-186, doi: 10.1130/GES00044.1. Plate 1 - Orthorectified Landsat Thematic Mapper (TM) band 7 of the Zagros magmatic arc, Iran, with phyllic and argillic alteration units compiled from Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) data. Numbers indicate potential porphyry copper deposits determined from alteration spectral units (*mine at location). File size is 133 MB.
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regional mapping of phyllic and argillic altered rocks in the zagros magmatic arc iran using advanced spaceborne thermal emission and reflection radiometer aster data and Logical Operator algorithms
Geosphere, 2006Co-Authors: John C Mars, Lawrence C RowanAbstract:A method for regional mapping of phyllic and argillic hydrothermally altered rocks using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data was developed and tested at the Cuprite, Nevada, calibration and validation site, and then extensively used in the Zagros magmatic arc in Iran, which consists of the High Zagros and Jebal Barez Mountains, and the Bazman volcanic area. Logical Operator algorithms were developed to perform multiple band ratio and threshold value calculations, which can be applied to a scene using a single algorithm, thus eliminating separate production and application of vegetation and dark pixel masks. Argillic and phyllic band-ratio Logical Operators use band ratios that define the 2.17 µm and 2.20 µm absorption features to map kaolinite and alunite, which are typical in argillic-altered rocks, and muscovite, which is a common mineral in phyllic-altered rocks. Regional mapping of the Zagros magmatic arc using the Logical Operators illustrates distinctive patterns of argillic and phyllic rocks that can be associated with regional structural features and tectonic processes, and that can be used in regional mineral assessments. Semicircular patterns, 1–5 km in diameter, of mapped phyllic- and argillic-altered rocks are typically associated with Eocene to Miocene intrusive igneous rocks, some of which host known porphyry copper deposits, such as at Meiduk and Sar Cheshmeh. Linear phyllic-altered rock patterns associated with extensive faults and fractures indicate potential epithermal or polymetallic vein deposits. On the basis of argillic and phyllic alteration patterns, ∼50 potential porphyry copper deposits were mapped northwest of the Zagros-Makran transform zone in an eroded, exhumed, and dormant part of the magmatic arc, whereas only 11 potential porphyry copper deposits were mapped to the southeast of the transform, in the volcanically active part of the magmatic arc. The Zagros-Makran transform zone, which separates the volcanically dormant and active parts of the Zagros magmatic arc, exhibits extensive linear patterns of phyllic-altered rocks that indicate the potential for polymetallic-epithermal vein deposits.
John C Mars - One of the best experts on this subject based on the ideXlab platform.
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aster spectral analysis and lithologic mapping of the khanneshin carbonatite volcano afghanistan
Geosphere, 2011Co-Authors: John C Mars, Lawrence C RowanAbstract:Advanced Spaceborne Thermal and Reflection Radiometer (ASTER) data of the early Quaternary Khanneshin carbonatite volcano located in southern Afghanistan were used to identify carbonate rocks within the volcano and to distinguish them from Neogene ferruginous polymict sandstone and argillite. The carbonatitic rocks are characterized by diagnostic CO3 absorption near 11.2 μm and 2.31–2.33 μm, whereas the sandstone, argillite, and adjacent alluvial deposits exhibit intense Si-O absorption near 8.7 μm caused mainly by quartz and Al-OH absorption near 2.20 μm due to muscovite and illite. Calcitic carbonatite was distinguished from ankeritic carbonatite in the short wave infrared (SWIR) region of the ASTER data due to a slight shift of the CO3 absorption feature toward 2.26 μm (ASTER band 7) in the ankeritic carbonatite spectra. Spectral assessment using ASTER SWIR data suggests that the area is covered by extensive carbonatite flows that contain calcite, ankerite, and muscovite, though some areas mapped as ankeritic carbonatite on a preexisting geologic map were not identified in the ASTER data. A contact aureole shown on the geologic map was defined using an ASTER false color composite image (R = 6, G = 3, B = 1) and a Logical Operator byte image. The contact aureole rocks exhibit Fe2+, Al-OH, and Fe, Mg-OH spectral absorption features at 1.65, 2.2, and 2.33 μm, respectively, which suggest that the contact aureole rocks contain muscovite, epidote, and chlorite. The contact aureole rocks were mapped using an Interactive Data Language (IDL) Logical Operator. A visible through short wave infrared (VNIR-SWIR) mineral and rock-type map based on matched filter, band ratio, and Logical Operator analysis illustrates: (1) laterally extensive calcitic carbonatite that covers most of the crater and areas northeast of the crater; (2) ankeritic carbonatite located southeast and north of the crater and some small deposits located within the crater; (3) agglomerate that primarily covers the inside rim of the crater and a small area west of the crater; (4) a crater rim that consists mostly of epidote-chlorite-muscovite–rich metamorphosed argillite and sandstone; and (5) iron (Fe3+) and muscovite-illite–rich rocks and iron-rich eolian sands surrounding the western part of the volcano. The thermal infrared (TIR) rock-type map illustrates laterally extensive carbonatitic and mafic rocks surrounded by quartz-rich eolian and fluvial reworked sediments. In addition, the combination of VNIR, SWIR, and TIR data complement one another in that the TIR data illustrate more laterally extensive rock types and the VNIR-SWIR data distinguish more specific varieties of rocks and mineral mixtures.
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regional mapping of phyllic and argillic altered rocks in the zagros magmatic arc iran using advanced spaceborne thermal emission and reflection radiometer aster data and Logical Operator algorithms
Geosphere, 2006Co-Authors: John C Mars, Lawrence C RowanAbstract:Geosphere, May 2006, v. 2, p. 161-186, doi: 10.1130/GES00044.1. Plate 1 - Orthorectified Landsat Thematic Mapper (TM) band 7 of the Zagros magmatic arc, Iran, with phyllic and argillic alteration units compiled from Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) data. Numbers indicate potential porphyry copper deposits determined from alteration spectral units (*mine at location). File size is 133 MB.
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regional mapping of phyllic and argillic altered rocks in the zagros magmatic arc iran using advanced spaceborne thermal emission and reflection radiometer aster data and Logical Operator algorithms
Geosphere, 2006Co-Authors: John C Mars, Lawrence C RowanAbstract:A method for regional mapping of phyllic and argillic hydrothermally altered rocks using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data was developed and tested at the Cuprite, Nevada, calibration and validation site, and then extensively used in the Zagros magmatic arc in Iran, which consists of the High Zagros and Jebal Barez Mountains, and the Bazman volcanic area. Logical Operator algorithms were developed to perform multiple band ratio and threshold value calculations, which can be applied to a scene using a single algorithm, thus eliminating separate production and application of vegetation and dark pixel masks. Argillic and phyllic band-ratio Logical Operators use band ratios that define the 2.17 µm and 2.20 µm absorption features to map kaolinite and alunite, which are typical in argillic-altered rocks, and muscovite, which is a common mineral in phyllic-altered rocks. Regional mapping of the Zagros magmatic arc using the Logical Operators illustrates distinctive patterns of argillic and phyllic rocks that can be associated with regional structural features and tectonic processes, and that can be used in regional mineral assessments. Semicircular patterns, 1–5 km in diameter, of mapped phyllic- and argillic-altered rocks are typically associated with Eocene to Miocene intrusive igneous rocks, some of which host known porphyry copper deposits, such as at Meiduk and Sar Cheshmeh. Linear phyllic-altered rock patterns associated with extensive faults and fractures indicate potential epithermal or polymetallic vein deposits. On the basis of argillic and phyllic alteration patterns, ∼50 potential porphyry copper deposits were mapped northwest of the Zagros-Makran transform zone in an eroded, exhumed, and dormant part of the magmatic arc, whereas only 11 potential porphyry copper deposits were mapped to the southeast of the transform, in the volcanically active part of the magmatic arc. The Zagros-Makran transform zone, which separates the volcanically dormant and active parts of the Zagros magmatic arc, exhibits extensive linear patterns of phyllic-altered rocks that indicate the potential for polymetallic-epithermal vein deposits.
Mazlan Hashim - One of the best experts on this subject based on the ideXlab platform.
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the application of aster remote sensing data to porphyry copper and epithermal gold deposits
Ore Geology Reviews, 2012Co-Authors: Amin Beiranvand Pour, Mazlan HashimAbstract:article i nfo This paper reviews the performance characteristics of the Advanced Spaceborne Thermal Emission and Re- flection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock li- thology. Hydrothermal alteration zones associated with porphyry copper deposit such as phyllic, argillic, and propylitic mineral assemblages can be discriminated from one another by virtue of their spectral absorption features, which are detectable by ASTER SWIR spectral bands. The identification of the phyllic zone is impor- tant in the initial stages of porphyry copper exploration as an indicator of high economic-potential for copper mineralization. Two new crosstalk-corrected ASTER SWIR reflectance products including AST-07XT and RefL1b are more re- liable than previous ASTER data products for regional mineral mapping without use of additional spectral data from the site for calibration. Four types of algorithms were used to extract spectral information of ASTER data: 1) band-ratio, indices and Logical Operator based methods; 2) principal components and en- hancement based methods such as Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF); 3) shape-fitting based algorithms such as Spectral Angle Mapper (SAM), Matched-Filtering (MF), and Mixture-Tuned Matched-Filtering (MTMF); and 4) partial unmixing methods such as Linear Spectral Unmixing (LSU) and Constrained Energy Minimization (CEM). This review emphasizes that the Logical Operator algorithms can be best suited for hydrothermal alteration mineral mapping, including phyllic and argillic zones associated with porphyry copper mineralization in a re- gional scale. Shape-fitting based and partial unmixing algorithms are robust and reliable for detecting partic- ular mineral and mineral assemblages in hydrothermal alteration zones in a district scale. Consequently, the integration of the results derived from the Logical Operator, shape-fitting based, and partial unmixing algo- rithms can produce comprehensive and accurate information for the reconnaissance stages of copper and gold exploration at both regional and district scales. All of the methods and applications reviewed in this paper demonstrate the utility of ASTER data for exploration of the porphyry copper and epithermal gold de- posits around the world.
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the application of aster remote sensing data to porphyry copper and epithermal gold deposits
Ore Geology Reviews, 2012Co-Authors: Amin Beiranvand Pour, Mazlan HashimAbstract:article i nfo This paper reviews the performance characteristics of the Advanced Spaceborne Thermal Emission and Re- flection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock li- thology. Hydrothermal alteration zones associated with porphyry copper deposit such as phyllic, argillic, and propylitic mineral assemblages can be discriminated from one another by virtue of their spectral absorption features, which are detectable by ASTER SWIR spectral bands. The identification of the phyllic zone is impor- tant in the initial stages of porphyry copper exploration as an indicator of high economic-potential for copper mineralization. Two new crosstalk-corrected ASTER SWIR reflectance products including AST-07XT and RefL1b are more re- liable than previous ASTER data products for regional mineral mapping without use of additional spectral data from the site for calibration. Four types of algorithms were used to extract spectral information of ASTER data: 1) band-ratio, indices and Logical Operator based methods; 2) principal components and en- hancement based methods such as Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF); 3) shape-fitting based algorithms such as Spectral Angle Mapper (SAM), Matched-Filtering (MF), and Mixture-Tuned Matched-Filtering (MTMF); and 4) partial unmixing methods such as Linear Spectral Unmixing (LSU) and Constrained Energy Minimization (CEM). This review emphasizes that the Logical Operator algorithms can be best suited for hydrothermal alteration mineral mapping, including phyllic and argillic zones associated with porphyry copper mineralization in a re- gional scale. Shape-fitting based and partial unmixing algorithms are robust and reliable for detecting partic- ular mineral and mineral assemblages in hydrothermal alteration zones in a district scale. Consequently, the integration of the results derived from the Logical Operator, shape-fitting based, and partial unmixing algo- rithms can produce comprehensive and accurate information for the reconnaissance stages of copper and gold exploration at both regional and district scales. All of the methods and applications reviewed in this paper demonstrate the utility of ASTER data for exploration of the porphyry copper and epithermal gold de- posits around the world.
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the application of aster remote sensing data to porphyry copper and epithermal gold deposits
Ore Geology Reviews, 2012Co-Authors: Amin Beiranvand Pour, Mazlan HashimAbstract:Abstract This paper reviews the performance characteristics of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock lithology. Hydrothermal alteration zones associated with porphyry copper deposit such as phyllic, argillic, and propylitic mineral assemblages can be discriminated from one another by virtue of their spectral absorption features, which are detectable by ASTER SWIR spectral bands. The identification of the phyllic zone is important in the initial stages of porphyry copper exploration as an indicator of high economic-potential for copper mineralization. Two new crosstalk-corrected ASTER SWIR reflectance products including AST-07XT and RefL1b are more reliable than previous ASTER data products for regional mineral mapping without use of additional spectral data from the site for calibration. Four types of algorithms were used to extract spectral information of ASTER data: 1) band-ratio, indices and Logical Operator based methods; 2) principal components and enhancement based methods such as Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF); 3) shape-fitting based algorithms such as Spectral Angle Mapper (SAM), Matched-Filtering (MF), and Mixture-Tuned Matched-Filtering (MTMF); and 4) partial unmixing methods such as Linear Spectral Unmixing (LSU) and Constrained Energy Minimization (CEM). This review emphasizes that the Logical Operator algorithms can be best suited for hydrothermal alteration mineral mapping, including phyllic and argillic zones associated with porphyry copper mineralization in a regional scale. Shape-fitting based and partial unmixing algorithms are robust and reliable for detecting particular mineral and mineral assemblages in hydrothermal alteration zones in a district scale. Consequently, the integration of the results derived from the Logical Operator, shape-fitting based, and partial unmixing algorithms can produce comprehensive and accurate information for the reconnaissance stages of copper and gold exploration at both regional and district scales. All of the methods and applications reviewed in this paper demonstrate the utility of ASTER data for exploration of the porphyry copper and epithermal gold deposits around the world.
Amin Beiranvand Pour - One of the best experts on this subject based on the ideXlab platform.
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the application of aster remote sensing data to porphyry copper and epithermal gold deposits
Ore Geology Reviews, 2012Co-Authors: Amin Beiranvand Pour, Mazlan HashimAbstract:article i nfo This paper reviews the performance characteristics of the Advanced Spaceborne Thermal Emission and Re- flection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock li- thology. Hydrothermal alteration zones associated with porphyry copper deposit such as phyllic, argillic, and propylitic mineral assemblages can be discriminated from one another by virtue of their spectral absorption features, which are detectable by ASTER SWIR spectral bands. The identification of the phyllic zone is impor- tant in the initial stages of porphyry copper exploration as an indicator of high economic-potential for copper mineralization. Two new crosstalk-corrected ASTER SWIR reflectance products including AST-07XT and RefL1b are more re- liable than previous ASTER data products for regional mineral mapping without use of additional spectral data from the site for calibration. Four types of algorithms were used to extract spectral information of ASTER data: 1) band-ratio, indices and Logical Operator based methods; 2) principal components and en- hancement based methods such as Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF); 3) shape-fitting based algorithms such as Spectral Angle Mapper (SAM), Matched-Filtering (MF), and Mixture-Tuned Matched-Filtering (MTMF); and 4) partial unmixing methods such as Linear Spectral Unmixing (LSU) and Constrained Energy Minimization (CEM). This review emphasizes that the Logical Operator algorithms can be best suited for hydrothermal alteration mineral mapping, including phyllic and argillic zones associated with porphyry copper mineralization in a re- gional scale. Shape-fitting based and partial unmixing algorithms are robust and reliable for detecting partic- ular mineral and mineral assemblages in hydrothermal alteration zones in a district scale. Consequently, the integration of the results derived from the Logical Operator, shape-fitting based, and partial unmixing algo- rithms can produce comprehensive and accurate information for the reconnaissance stages of copper and gold exploration at both regional and district scales. All of the methods and applications reviewed in this paper demonstrate the utility of ASTER data for exploration of the porphyry copper and epithermal gold de- posits around the world.
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the application of aster remote sensing data to porphyry copper and epithermal gold deposits
Ore Geology Reviews, 2012Co-Authors: Amin Beiranvand Pour, Mazlan HashimAbstract:article i nfo This paper reviews the performance characteristics of the Advanced Spaceborne Thermal Emission and Re- flection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock li- thology. Hydrothermal alteration zones associated with porphyry copper deposit such as phyllic, argillic, and propylitic mineral assemblages can be discriminated from one another by virtue of their spectral absorption features, which are detectable by ASTER SWIR spectral bands. The identification of the phyllic zone is impor- tant in the initial stages of porphyry copper exploration as an indicator of high economic-potential for copper mineralization. Two new crosstalk-corrected ASTER SWIR reflectance products including AST-07XT and RefL1b are more re- liable than previous ASTER data products for regional mineral mapping without use of additional spectral data from the site for calibration. Four types of algorithms were used to extract spectral information of ASTER data: 1) band-ratio, indices and Logical Operator based methods; 2) principal components and en- hancement based methods such as Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF); 3) shape-fitting based algorithms such as Spectral Angle Mapper (SAM), Matched-Filtering (MF), and Mixture-Tuned Matched-Filtering (MTMF); and 4) partial unmixing methods such as Linear Spectral Unmixing (LSU) and Constrained Energy Minimization (CEM). This review emphasizes that the Logical Operator algorithms can be best suited for hydrothermal alteration mineral mapping, including phyllic and argillic zones associated with porphyry copper mineralization in a re- gional scale. Shape-fitting based and partial unmixing algorithms are robust and reliable for detecting partic- ular mineral and mineral assemblages in hydrothermal alteration zones in a district scale. Consequently, the integration of the results derived from the Logical Operator, shape-fitting based, and partial unmixing algo- rithms can produce comprehensive and accurate information for the reconnaissance stages of copper and gold exploration at both regional and district scales. All of the methods and applications reviewed in this paper demonstrate the utility of ASTER data for exploration of the porphyry copper and epithermal gold de- posits around the world.
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the application of aster remote sensing data to porphyry copper and epithermal gold deposits
Ore Geology Reviews, 2012Co-Authors: Amin Beiranvand Pour, Mazlan HashimAbstract:Abstract This paper reviews the performance characteristics of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) remote sensor, the standard data products, and applications of the most recently developed image processing methods applied to ASTER data as a tool for mapping hydrothermal alteration mineral zones associated with porphyry copper and epithermal gold mineralization and related host-rock lithology. Hydrothermal alteration zones associated with porphyry copper deposit such as phyllic, argillic, and propylitic mineral assemblages can be discriminated from one another by virtue of their spectral absorption features, which are detectable by ASTER SWIR spectral bands. The identification of the phyllic zone is important in the initial stages of porphyry copper exploration as an indicator of high economic-potential for copper mineralization. Two new crosstalk-corrected ASTER SWIR reflectance products including AST-07XT and RefL1b are more reliable than previous ASTER data products for regional mineral mapping without use of additional spectral data from the site for calibration. Four types of algorithms were used to extract spectral information of ASTER data: 1) band-ratio, indices and Logical Operator based methods; 2) principal components and enhancement based methods such as Principal Component Analysis (PCA) and Minimum Noise Fraction (MNF); 3) shape-fitting based algorithms such as Spectral Angle Mapper (SAM), Matched-Filtering (MF), and Mixture-Tuned Matched-Filtering (MTMF); and 4) partial unmixing methods such as Linear Spectral Unmixing (LSU) and Constrained Energy Minimization (CEM). This review emphasizes that the Logical Operator algorithms can be best suited for hydrothermal alteration mineral mapping, including phyllic and argillic zones associated with porphyry copper mineralization in a regional scale. Shape-fitting based and partial unmixing algorithms are robust and reliable for detecting particular mineral and mineral assemblages in hydrothermal alteration zones in a district scale. Consequently, the integration of the results derived from the Logical Operator, shape-fitting based, and partial unmixing algorithms can produce comprehensive and accurate information for the reconnaissance stages of copper and gold exploration at both regional and district scales. All of the methods and applications reviewed in this paper demonstrate the utility of ASTER data for exploration of the porphyry copper and epithermal gold deposits around the world.
Isaac H Kim - One of the best experts on this subject based on the ideXlab platform.
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3d local qupit quantum code without string Logical Operator
Bulletin of the American Physical Society, 2012Co-Authors: Isaac H KimAbstract:Recently Haah introduced a new quantum error correcting code embedded on a cubic lattice. One of the defining properties of this code is the absence of string Logical Operator. We present new codes with similar properties by relaxing the condition on the local particle dimension. The resulting code is well-defined when the local Hilbert space dimension is prime. These codes can be divided into two different classes: the local stabilizer generators are either symmetric or antisymmetric with respect to the inversion operation. These is a nontrivial correspondence between these two classes. For any symmetric code without string Logical Operator, there exists a complementary antisymmetric code with the same property and vice versa. We derive a sufficient condition for the absence of string Logical Operator in terms of the algebraic constraints on the defining parameters of the code. Minimal number of local particle dimension which satisfies the condition is 5. These codes have logarithmic energy barrier for any Logical error.
